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Future Blog Post
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Mutual Information: A Unifying Metric to Pilot Design for Integrated Sensing and Communication (ISAC)
Published:
The Dual Imperative: Why ISAC Requires Unified Pilot Design
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Sensing and Communications under Uncertainties
Published:
In the race toward 6G networks, integrating sensing and communication functionalities is a game-changer. Imagine a single device capable of both connecting users and detecting objects in its environment. This dual functionality, known as dual-functional radar-communication (DFRC) systems, is at the forefront of next-generation wireless technologies.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
What are Convex Sets?
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What is Convex Optimization ?
What is Convex Optimization?
publications
On the Effect of Random Snapshot Timing Jitter on the Covariance Matrix for JADE Estimation
Published in 2015 23rd European Signal Processing Conference (EUSIPCO), 2015
A theoretical analysis of how random snapshot timing jitter affects the covariance matrix used in joint angle and delay estimation, quantifying the resulting estimation accuracy loss.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On the Effect of Random Snapshot Timing Jitter on the Covariance Matrix for JADE Estimation," in 2015 23rd European Signal Processing Conference (EUSIPCO), Nice, France, 2015, pp. 2611-2615. https://ieeexplore.ieee.org/document/7362857
Efficient Maximum Likelihood Joint Estimation of Angles and Times of Arrival of Multiple Paths
Published in 2015 IEEE Globecom Workshops (GC Wkshps), 2015
An efficient maximum-likelihood algorithm for joint angle and delay estimation of multiple multipath components, balancing computational cost against statistical efficiency.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Efficient Maximum Likelihood Joint Estimation of Angles and Times of Arrival of Multiple Paths," in 2015 IEEE Globecom Workshops (GC Wkshps), San Diego, CA, USA, 2015, pp. 1-7. https://ieeexplore.ieee.org/document/7414203
On Joint Angle and Delay Estimation in the Presence of Local Scattering
Published in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2016
Joint angle and delay estimation under local scattering, a realistic propagation model that introduces angular spread around each multipath component.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On Joint Angle and Delay Estimation in the Presence of Local Scattering," in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 2016. https://www.researchgate.net/publication/295855546_On_Joint_Angle_and_Delay_Estimation_in_the_Presence_of_Local_Scattering
On Spatio-Frequential Smoothing for Joint Angles and Times of Arrival Estimation of Multipaths
Published in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2016
A spatio-frequential smoothing technique for joint angle-of-arrival and time-of-arrival estimation in multipath channels, exploiting both spatial-array and frequency-domain redundancy.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On Spatio-Frequential Smoothing for Joint Angles and Times of Arrival Estimation of Multipaths," in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 2016. https://ieeexplore.ieee.org/document/7471830/
Detection of the Number of Superimposed Signals Using Modified MDL Criterion: A Random Matrix Approach
Published in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2016
A modified Minimum Description Length (MDL) detector for the number of superimposed signals when the number of snapshots is of the same order as the number of antennas, based on random matrix theory.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Detection of the Number of Superimposed Signals Using Modified MDL Criterion: A Random Matrix Approach," in ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 2016. https://ieeexplore.ieee.org/document/7472547/
Single Snapshot Joint Estimation of Angles and Times of Arrival: A 2D Matrix Pencil Approach
Published in 2016 IEEE International Conference on Communications (ICC), 2016
A 2D Matrix Pencil method for joint angle and delay estimation from a single snapshot of the antenna array, enabling JADE in settings where multiple snapshots are unavailable.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Single Snapshot Joint Estimation of Angles and Times of Arrival: A 2D Matrix Pencil Approach," in 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, 2016, pp. 1-6. https://ieeexplore.ieee.org/document/7511158
Online Angle of Arrival Estimation in the Presence of Mutual Coupling
Published in 2016 IEEE Statistical Signal Processing Workshop (SSP), 2016
An online angle-of-arrival estimator that adapts in real time to array mutual coupling, suitable for streaming or sliding-window operation in dynamic propagation environments.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Online Angle of Arrival Estimation in the Presence of Mutual Coupling," in 2016 IEEE Statistical Signal Processing Workshop (SSP), Palma de Mallorca, Spain, 2016, pp. 1-4. https://ieeexplore.ieee.org/document/7551749
A Comparative Study of Sparse Recovery and Compressed Sensing Algorithms with Application to AoA Estimation
Published in 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016
A comparative study of sparse recovery and compressed sensing algorithms applied to angle-of-arrival estimation, benchmarking recovery accuracy, complexity, and robustness across methods.
Recommended citation: A. Bazzi, D. T. M. Slock, L. Meilhac and S. Panneerselvan, "A Comparative Study of Sparse Recovery and Compressed Sensing Algorithms with Application to AoA Estimation," in 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Edinburgh, UK, 2016, pp. 1-5. https://ieeexplore.ieee.org/document/7536780
On a Mutual Coupling Agnostic Maximum Likelihood Angle of Arrival Estimator by Alternating Projection
Published in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
A maximum-likelihood angle-of-arrival estimator that is agnostic to the array mutual-coupling structure, solved efficiently by alternating projection.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On a Mutual Coupling Agnostic Maximum Likelihood Angle of Arrival Estimator by Alternating Projection," in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, USA, 2016, pp. 1393-1397. https://ieeexplore.ieee.org/document/7906070
A Mutual Coupling Resilient Algorithm for Joint Angle and Delay Estimation
Published in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
A joint angle and delay estimator engineered to be resilient to array mutual-coupling, extending the JADE problem to settings with uncertain coupling parameters.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "A Mutual Coupling Resilient Algorithm for Joint Angle and Delay Estimation," in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, DC, USA, 2016, pp. 1398-1402. https://ieeexplore.ieee.org/document/7906071
JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties
Published in 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2016
JADED-RIP: a joint angle and delay estimator and detector that exploits rotational invariance properties of the array manifold, in the spirit of ESPRIT-style algorithms.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties," in 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Limassol, Cyprus, 2016, pp. 160-165. https://ieeexplore.ieee.org/document/7886027
Sparse Recovery Using an Iterative Variational Bayes Algorithm and Application to AoA Estimation
Published in 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2016
An iterative variational Bayes algorithm for sparse signal recovery, applied to angle-of-arrival estimation. The Bayesian formulation yields uncertainty quantification alongside point estimates.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Sparse Recovery Using an Iterative Variational Bayes Algorithm and Application to AoA Estimation," in 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Limassol, Cyprus, 2016, pp. 197-202. https://ieeexplore.ieee.org/document/7886034
Performance Analysis of an AoA Estimator in the Presence of More Mutual Coupling Parameters
Published in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2017
A performance analysis of the proposed angle-of-arrival estimator under an expanded mutual-coupling parameter set, complementing the companion paper at ICASSP 2017 with theoretical performance results.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Performance Analysis of an AoA Estimator in the Presence of More Mutual Coupling Parameters," in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017. https://doi.org/10.1109/ICASSP.2017.7952778
Blind On-Board Wideband Antenna RF Calibration for Multi-Antenna Satellites
Published in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2017
A blind on-board wideband antenna RF calibration scheme for multi-antenna satellites, eliminating the need for dedicated calibration signals or ground-station feedback.
Recommended citation: A. Bazzi, L. Cottatellucci and D. T. M. Slock, "Blind On-Board Wideband Antenna RF Calibration for Multi-Antenna Satellites," in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017. https://ieeexplore.ieee.org/document/7953367/
On Mutual Coupling for ULAs: Estimating AoAs in the Presence of More Coupling Parameters
Published in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2017
Angle-of-arrival estimation for uniform linear arrays in the presence of an expanded mutual-coupling parameter set. Nominated for the Best Student Paper Award at ICASSP 2017.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On Mutual Coupling for ULAs: Estimating AoAs in the Presence of More Coupling Parameters," in ICASSP 2017 - 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017. (Nominated for Best Student Paper Award.) https://doi.org/10.1109/ICASSP.2017.7952779
Parameter Estimation Techniques for Indoor Localisation via WiFi
Published in PhD Thesis - EURECOM, Sophia Antipolis, 2017
Doctoral thesis (EURECOM, 2017) on parameter estimation techniques for indoor localisation via WiFi, addressing time-of-arrival, angle-of-arrival, and joint angle-delay estimation in the presence of array imperfections.
Recommended citation: A. Bazzi, "Parameter Estimation Techniques for Indoor Localisation via WiFi," PhD Thesis, EURECOM, Sophia Antipolis, France, 2017. https://pastel.archives-ouvertes.fr/tel-01740339
A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing
Published in ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers, 2017
A Newton-type forward-backward greedy algorithm for multi-snapshot compressed sensing, exploiting joint sparsity structure across snapshots to improve recovery accuracy.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "A Newton-Type Forward-Backward Greedy Method for Multi-Snapshot Compressed Sensing," in ASILOMAR 2017 - Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2017. https://doi.org/10.1109/ACSSC.2017.8335537
On Maximum Likelihood Angle of Arrival Estimation Using Orthogonal Projections
Published in ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
Maximum likelihood angle-of-arrival estimation reformulated via orthogonal-projection operators, providing a computationally tractable approximation of the ML estimator.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "On Maximum Likelihood Angle of Arrival Estimation Using Orthogonal Projections," in ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Canada, 2018. https://doi.org/10.1109/ICASSP.2018.8462437
Sparsity-Based Off-Grid Blind Sensor Calibration
Published in Digital Signal Processing, 2019
A sparsity-based, off-grid, blind sensor calibration framework that simultaneously estimates calibration parameters and underlying off-grid signal parameters without requiring known calibration sources.
Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Sparsity-Based Off-Grid Blind Sensor Calibration," in Digital Signal Processing, Elsevier, 2019. https://www.sciencedirect.com/science/article/abs/pii/S1051200418304548
Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation
Published in GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, 2019
A closed-form Cramer-Rao bound for the partial-relaxation joint angle and delay estimator, providing a theoretical benchmark for evaluating the accuracy of JADE algorithms.
Recommended citation: A. Bazzi and D. T. M. Slock, "Cramer-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation," in GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Ottawa, Canada, 2019. https://doi.org/10.1109/GlobalSIP45357.2019.8969286
Joint Angle and Delay Estimation (JADE) by Partial Relaxation
Published in GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, 2019
A partial-relaxation approach to joint angle and delay estimation (JADE), trading exactness for computational efficiency while preserving estimation accuracy in multipath wireless channels.
Recommended citation: A. Bazzi and D. T. M. Slock, "Joint Angle and Delay Estimation (JADE) by Partial Relaxation," in GLOBALSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Ottawa, Canada, 2019. https://doi.org/10.1109/GlobalSIP45357.2019.8969218
Robust MUSIC Estimation Under Array Response Uncertainty
Published in ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
A robust MUSIC angle-of-arrival estimator designed to remain accurate when the array response model is uncertain, addressing a practical limitation of classical MUSIC in real antenna arrays.
Recommended citation: A. Bazzi and D. T. M. Slock, "Robust MUSIC Estimation Under Array Response Uncertainty," in ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, 2020. https://doi.org/10.1109/ICASSP40776.2020.9052941
Fundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies
Published in IEEE Wireless Communications Letters, 2020
Information-theoretic performance limits for cooperative localization at mm-wave frequencies in linear network topologies, providing benchmarks for practical localization protocols.
Recommended citation: V. A. Reddy, A. Bazzi, G. L. Stüber, S. Al-Dharrab, W. Mesbah and A. H. Muqaibel, "Fundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies," in IEEE Wireless Communications Letters, vol. 9, no. 11, pp. 1899-1903, Nov. 2020. https://ieeexplore.ieee.org/abstract/document/9134417
DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning
Published in IEEE Access, 2022
Indoor localization using deep neural networks trained with limited labeled data by combining generative adversarial networks (GANs) and semi-supervised learning.
Recommended citation: W. Njima, A. Bazzi and M. Chafii, "DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning," in IEEE Access, vol. 10, pp. 69896-69909, 2022. https://ieeexplore.ieee.org/abstract/document/9812625
Dual-Mode Chirp Spread Spectrum Modulation
Published in IEEE Wireless Communications Letters, 2022
A dual-mode chirp spread spectrum modulation scheme that doubles the information embedded per chirp by jointly modulating two complementary modes.
Recommended citation: A. W. Azim, A. Bazzi, R. Shubair and M. Chafii, "Dual-Mode Chirp Spread Spectrum Modulation," in IEEE Wireless Communications Letters, vol. 11, no. 9, pp. 1995-1999, Sept. 2022. https://ieeexplore.ieee.org/abstract/document/9828505
On Outage-Based Beamforming Design for Dual-Functional Radar-Communication 6G Systems
Published in IEEE Transactions on Wireless Communications, 2023
Outage-probability-based beamforming design for dual-functional radar-communication (DFRC) systems in 6G, optimizing communication outage while preserving radar performance.
Recommended citation: A. Bazzi and M. Chafii, "On Outage-Based Beamforming Design for Dual-Functional Radar-Communication 6G Systems," in IEEE Transactions on Wireless Communications, 2023. https://ieeexplore.ieee.org/abstract/document/10018908
On Integrated Sensing and Communication Waveforms with Tunable PAPR
Published in IEEE Transactions on Wireless Communications, 2023
Integrated sensing and communication (ISAC) waveforms whose peak-to-average power ratio (PAPR) can be tuned to system constraints without sacrificing sensing accuracy or communication rate.
Recommended citation: A. Bazzi and M. Chafii, "On Integrated Sensing and Communication Waveforms with Tunable PAPR," in IEEE Transactions on Wireless Communications, 2023. https://ieeexplore.ieee.org/abstract/document/10061453
Hypothesis Testing on FMCW and OFDM for Joint Communication and Radar in IEEE 802.11bd
Published in 2023 IEEE International Conference on Communications Workshops (ICC Workshops), 2023
A hypothesis-testing framework comparing FMCW and OFDM waveforms for joint communication and radar (JCR) in IEEE 802.11bd vehicular networks.
Recommended citation: S. Ehsanfar, A. Bazzi, K. Mößner and M. Chafii, "Hypothesis Testing on FMCW and OFDM for Joint Communication and Radar in IEEE 802.11bd," in 2023 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 464-469, 2023. https://ieeexplore.ieee.org/document/10283734
Deep Learning-based Estimation for Multitarget Radar Detection
Published in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023
Target detection in environments with many objects is challenging both for localization and for identification/movement prediction. The paper proposes a convolutional neural network (CNN) to estimate range and velocity of moving targets directly from the range-Doppler map. Compared to the 2D periodogram, 2DResFreq, and VGG-19, the proposed model achieves better range and velocity estimation accuracy across signal-to-noise-ratio regimes.
Recommended citation: M. Delamou, A. Bazzi, M. Chafii and E. M. Amhoud, "Deep Learning-based Estimation for Multitarget Radar Detection," in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-5. https://ieeexplore.ieee.org/document/10200157
Dual-Mode Time Domain Multiplexed Chirp Spread Spectrum
Published in IEEE Transactions on Vehicular Technology, 2023
A dual-mode chirp spread spectrum modulation scheme using time-domain multiplexing to increase data rate while retaining the robustness benefits of chirp signaling.
Recommended citation: A. W. Azim, A. Bazzi, M. Fatima, R. Shubair and M. Chafii, "Dual-Mode Time Domain Multiplexed Chirp Spread Spectrum," in IEEE Transactions on Vehicular Technology, 2023. https://ieeexplore.ieee.org/abstract/document/10183362
Robust Integrated Sensing and Communication Beamforming for Dual-functional Radar and Communications: Method and Insights
Published in 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2023
A robust beamforming method for dual-functional radar-communication systems under channel uncertainty, with design insights from the proposed framework. Invited paper.
Recommended citation: A. Bazzi and M. Chafii, "Robust Integrated Sensing and Communication Beamforming for Dual-functional Radar and Communications: Method and Insights," in 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2023. (invited paper) https://arxiv.org/abs/2303.07652
Uplink and Downlink Communications Fusion for Enhanced Radar Sensing
Published in 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2023
Fusing uplink and downlink communication signals to enhance radar sensing performance in integrated sensing and communication systems. Invited paper.
Recommended citation: A. Chowdary, A. Bazzi and M. Chafii, "Uplink and Downlink Communications Fusion for Enhanced Radar Sensing," in 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, 2023, pp. 446-450. (invited paper) https://ieeexplore.ieee.org/document/10304540
Layered Chirp Spread Spectrum Modulations for LPWANs
Published in IEEE Transactions on Communications, 2023
Layered chirp spread spectrum modulation schemes for low-power wide-area networks (LPWANs), improving spectral efficiency over conventional LoRa-style waveforms.
Recommended citation: A. W. Azim, A. Bazzi, R. Bomfin, R. Shubair and M. Chafii, "Layered Chirp Spread Spectrum Modulations for LPWANs," in IEEE Transactions on Communications, 2023. https://ieeexplore.ieee.org/document/10312745/
Deep Learning-Enabled Angle Estimation in Bistatic ISAC Systems
Published in 2023 IEEE Globecom Workshops (GC Wkshps), 2023
Deep learning architecture for angle-of-arrival and angle-of-departure estimation in bistatic integrated sensing and communication (ISAC) systems. Invited paper.
Recommended citation: S. Naoumi, A. Bazzi, R. Bomfin and M. Chafii, "Deep Learning-Enabled Angle Estimation in Bistatic ISAC Systems," in 2023 IEEE Globecom Workshops (GC Wkshps), Kuala Lumpur, Malaysia, 2023, pp. 854-859. (invited paper) https://ieeexplore.ieee.org/document/10464930
Secure Full Duplex Integrated Sensing and Communications
Published in IEEE Transactions on Information Forensics and Security, 2024
A secure full-duplex ISAC system using artificial noise and secure beamforming to maintain communication secrecy against malicious eavesdroppers that themselves must be sensed.
Recommended citation: A. Bazzi and M. Chafii, "Secure Full Duplex Integrated Sensing and Communications," in IEEE Transactions on Information Forensics and Security, 2024. https://ieeexplore.ieee.org/document/10373185
Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC
Published in IEEE Journal of Selected Topics in Signal Processing, 2024
Integrated sensing and communication (ISAC) in wireless systems is a promising paradigm that combines radar sensing and wireless communications for improved performance. In our study, we propose two novel methods for joint angle of arrival and angle of departure estimation in bistatic ISAC systems. Our approach involves deep learning (DL) and a parameterized algorithm, enhancing computational efficiency while maintaining accuracy. Simulations reveal that our DL-based solution shows comparable performance to traditional methods with significantly lower complexity.
Recommended citation: S. Naoumi, A. Bazzi, R. Bomfin and M. Chafii "Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC ", in IEEE Journal of Selected Topics in Signal Processing, March. 2024. https://arxiv.org/pdf/2404.00582.pdf
RIS-Enabled Integrated Sensing and Communication for 6G Systems
Published in 2024 IEEE Wireless Communications and Networking Conference (WCNC), 2024
A reconfigurable intelligent surface (RIS) enabled integrated sensing and communication (ISAC) scheme for 6G that jointly exploits the RIS configuration for sensing and communication objectives.
Recommended citation: D. Wang, A. Bazzi and M. Chafii, "RIS-Enabled Integrated Sensing and Communication for 6G Systems," in 2024 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, 2024. https://ieeexplore.ieee.org/document/10571090
On Hybrid Radar Fusion for Integrated Sensing and Communication
Published in IEEE Transactions on Wireless Communications, 2024
A hybrid radar fusion framework for ISAC that combines monostatic and bistatic sensing to improve target detection and localization performance over either modality alone.
Recommended citation: A. Chowdary, A. Bazzi and M. Chafii, "On Hybrid Radar Fusion for Integrated Sensing and Communication," in IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8984-9000, Aug. 2024. https://ieeexplore.ieee.org/document/10417003
Multi-functional RIS for a Multi-functional System: Integrating Sensing, Communication, and Wireless Power Transfer
Published in IEEE Network, 2025
A multi-functional reconfigurable intelligent surface (RIS) that simultaneously supports sensing, communication, and wireless power transfer (WPT) in a single integrated system.
Recommended citation: A. Magbool, V. Kumar, A. Bazzi, M. F. Flanagan and M. Chafii, "Multi-functional RIS for a Multi-functional System: Integrating Sensing, Communication, and Wireless Power Transfer," in IEEE Network, 2024. https://ieeexplore.ieee.org/document/10720877
Towards ISAC RIS-Enabled Passive Radar Target Localization
Published in IEEE Conference Proceedings, 2025
A passive radar (PR) scenario where the PR receives weak line-of-sight signals of opportunity from an access point that subsequently reflect off targets. A normalized LMS method jointly detects the number of targets and estimates angles of arrival, iteratively adjusting steering-vector estimates to minimize an error cost; AoAs are then identified via peak-finding on the power spectrum. Simulations demonstrate a 14 dB dynamic-range reduction at the PR. Accepted at IEEE ICC 2025.
Recommended citation: A. Bazzi and M. Chafii, "Towards ISAC RIS-Enabled Passive Radar Target Localization," IEEE Conference Proceedings, 2025. arXiv:2502.18787. https://ieeexplore.ieee.org/document/11162110
Designing Waveforms with Adjustable PAPR for Integrated Sensing and Communication
Published in IEEE Conference Proceedings, 2025
A new optimization framework for ISAC waveform design that maximizes total achievable sum-rate via multi-user interference minimization while preserving similarity to a desired radar waveform. The design offers flexible tuning of the peak-to-average power ratio (PAPR) to feasible levels for practical physical-layer architectures. A non-convex optimization is formulated and solved via ADMM, with simulations validating superiority over state-of-the-art baselines. Accepted at IEEE ICC 2025.
Recommended citation: A. Bazzi and M. Chafii, "Designing Waveforms with Adjustable PAPR for Integrated Sensing and Communication," IEEE Conference Proceedings, 2025. arXiv:2502.17938. https://ieeexplore.ieee.org/document/11161464
Low Dynamic Range for RIS-Aided Bistatic Integrated Sensing and Communication
Published in IEEE Journal on Selected Areas in Communications, 2025
A reconfigurable intelligent surface (RIS) aided bistatic ISAC architecture engineered for low dynamic range, easing receiver hardware constraints while preserving sensing and communication performance.
Recommended citation: A. Bazzi and M. Chafii, "Low Dynamic Range for RIS-Aided Bistatic Integrated Sensing and Communication," in IEEE Journal on Selected Areas in Communications, 2025. https://ieeexplore.ieee.org/document/10854667
Urban Outdoor Propagation Measurements and Channel Models at 6.75 GHz FR1 (C) and 16.95 GHz FR3 Upper Mid-Band Spectrum for 5G and 6G
Published in ICC 2025 - IEEE International Conference on Communications, 2025
Urban outdoor propagation measurements and corresponding channel models at 6.75 GHz (FR1 C-band) and 16.95 GHz (FR3 upper mid-band), providing empirical path-loss and delay-spread data informing 3GPP standardization for 5G and 6G.
Recommended citation: D. Shakya, M. Ying, T. S. Rappaport, P. Ma, I. Al-Wazani, Y. Wu, Y. Wang, A. Bazzi et al., "Urban Outdoor Propagation Measurements and Channel Models at 6.75 GHz FR1 (C) and 16.95 GHz FR3 Upper Mid-Band Spectrum for 5G and 6G," in ICC 2025 - IEEE International Conference on Communications, pp. 3291-3296, 2025. https://ieeexplore.ieee.org/document/11161884
Mutual Information based Pilot Design for ISAC
Published in IEEE Transactions on Communications, 2025
Pilot signals for integrated sensing and communication (ISAC) systems designed via a mutual-information criterion to jointly optimize channel estimation and target sensing performance.
Recommended citation: A. Bazzi and M. Chafii, "Mutual Information based Pilot Design for ISAC," in IEEE Transactions on Communications, 2025. https://ieeexplore.ieee.org/document/10904093
Timing Synchronization and Channel Estimation for DCO-OFDM in VLC Systems
Published in 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2025
Timing synchronization and channel estimation schemes for DC-biased optical OFDM (DCO-OFDM) in visible-light communication (VLC) systems.
Recommended citation: A. W. Azim, T. Rahman, A. Bazzi, M. Uysal and M. Chafii, "Timing Synchronization and Channel Estimation for DCO-OFDM in VLC Systems," in 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, 2025, pp. 1-6. https://ieeexplore.ieee.org/document/11274571
ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
Published in IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation, 2025
A ray-tracing-based framework that uses channel state information for integrated sensing and communication (ISAC) imaging, reconstructing 3D environments with high fidelity for next-generation 6G systems.
Recommended citation: A. Bazzi, M. Ying, O. Kanhere, T. S. Rappaport and M. Chafii, "ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G," in IEEE Journal of Selected Topics in Electromagnetics, Antennas and Propagation, 2025. https://ieeexplore.ieee.org/document/11173662
3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets
Published in GLOBECOM 2025 - IEEE Global Communications Conference, 2025
Empirical 3GPP-compliant characterization of radar cross sections for typical indoor factory targets, providing input data for ISAC standardization activities in industrial environments.
Recommended citation: A. W. Azim, A. Bazzi, R. Bomfin and M. Chafii, "3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets," in GLOBECOM 2025 - IEEE Global Communications Conference, 2025. https://doi.org/10.1109/GLOBECOM59602.2025.11432057
High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods
Published in IEEE Journal on Selected Areas in Communications, 2025
High-resolution joint estimation for communication-centric ISAC using both deep learning and parametric methods, with a focus on super-resolution sensing accuracy without sacrificing communication performance.
Recommended citation: A. Bazzi, S. Naoumi, R. Bomfin and M. Chafii, "High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods," in IEEE Journal on Selected Areas in Communications, vol. 44, 2025. https://doi.org/10.1109/JSAC.2025.3639350
Hybrid Radar Fusion with Quantization: CRB-Rate Trade-offs and ADC Dynamic Range
Published in GLOBECOM 2025 - IEEE Global Communications Conference, 2025
A hybrid monostatic-bistatic radar fusion framework with explicit ADC quantization modeling, analyzing the trade-off between sensing Cramer-Rao bound and communication rate under finite analog-to-digital converter dynamic range.
Recommended citation: A. Chowdary, A. Bazzi and M. Chafii, "Hybrid Radar Fusion with Quantization: CRB-Rate Trade-offs and ADC Dynamic Range," in GLOBECOM 2025 - IEEE Global Communications Conference, pp. 4909-4914, 2025. https://doi.org/10.1109/GLOBECOM59602.2025.11432127
Investing Minimum Power in Secure Full Duplex ISAC Systems
Published in GLOBECOM 2025 - IEEE Global Communications Conference, 2025
A minimum-power transmit design for secure full-duplex integrated sensing and communication, meeting both secrecy and sensing constraints with the lowest achievable transmit energy.
Recommended citation: A. Bazzi and M. Chafii, "Investing Minimum Power in Secure Full Duplex ISAC Systems," in GLOBECOM 2025 - IEEE Global Communications Conference, pp. 3481-3486, 2025. https://doi.org/10.1109/GLOBECOM59602.2025.11431758
DRIP: A Versatile Family of Space-Time ISAC Discrete-time Sequences
Published in IEEE Journal on Selected Areas in Information Theory, 2026
DRIP — Dual beam-similarity awaRe ISAC with controlled Peak-to-average power ratio — is a versatile family of space-time ISAC waveforms designed for dynamic PAPR adjustment. The waveforms simultaneously target multiple desired directions while suppressing interference for multi-target sensing (closely resembling radar chirps) and minimize multi-user interference across constellations on the communication side. The optimization is non-convex; a block cyclic coordinate descent algorithm converges to an optimal ISAC waveform.
Recommended citation: D. Wang, A. Bazzi and M. Chafii, "DRIP: A Versatile Family of Space-Time ISAC Discrete-time Sequences," in IEEE Journal on Selected Areas in Information Theory, 2026. https://arxiv.org/pdf/2410.12746
From Coverage to Sensing: ISAC meets FR3
Published in IEEE Communications Magazine, 2026
A vision for integrated sensing and communication (ISAC) operating in the FR3 upper mid-band (7.125–24.25 GHz), bridging the coverage advantages of mid-band spectrum with the sensing capabilities needed for next-generation 6G networks.
Recommended citation: A. Bazzi, F. Gast, F. Liu, S. Jin, G. Fettweis and M. Chafii, "From Coverage to Sensing: ISAC meets FR3," in IEEE Communications Magazine, 2026. https://arxiv.org/pdf/2605.18120
On the Secrecy-Sensing Optimization of RIS-Assisted Full-Duplex Integrated Sensing and Communication Network
Published in IEEE Transactions on Wireless Communications, 2026
Joint secrecy–sensing optimization for an RIS-assisted full-duplex integrated sensing and communication network, balancing communication confidentiality against sensing performance under realistic constraints.
Recommended citation: E. Illi, A. Bazzi, M. K. Qaraqe and A. Ghrayeb, "On the Secrecy-Sensing Optimization of RIS-Assisted Full-Duplex Integrated Sensing and Communication Network," in IEEE Transactions on Wireless Communications, vol. 25, pp. 9530-9547, 2026. https://doi.org/10.1109/TWC.2025.3645048
Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges
Published in IEEE Communications Magazine, 2026
Driven by the pursuit of gigabit-per-second data speeds for future 6G mobile networks and the support of sensing and AI applications, this paper charts a vision for 6G within the FR3 spectrum (7.125–24.25 GHz). It reviews recent channel measurements (path loss, delay and angular spreads, material penetration loss), examines spectrum-agility strategies, coexistence with incumbents, massive MIMO, and multiband sensing for integrated sensing and communications.
Recommended citation: A. Bazzi, R. Bomfin, M. Mezzavilla, S. Rangan, T. S. Rappaport and M. Chafii, "Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges," arXiv preprint arXiv:2502.17914, 2025. https://arxiv.org/abs/2502.17914
talks
Speech AI Summit
Published:
Abstract: An online conversation with experts from Google, Meta, NVIDIA, and more on trends and techniques in automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Speech AI is becoming ubiquitous, helping businesses around the world power virtual assistants, scale call centers, take meeting notes, enhance AR experiences, and more. During the summit, you’ll hear from speech AI leaders on their latest work - research, production, and open source - to make speech AI more accurate, engaging, and globally accessible.
6G Integrated Sensing and Communications: One for All and All for One
Published:
Abstract: Learn how to leverage the up-and-coming technology integrated sensing and communications (ISAC) to maximize the potential of 6G technology. We’ll explore how this will impact use cases across innovative applications from the automotive and unmanned aerial vehicle sector to robotics, and much more. I’ll walk through simulations powered by NVIDIA GPUs that demonstrate the potential of this technology. We’ll also explore the main challenges and current state of the art of ISAC for 6G.
Outage-Based Beamforming Design for Integrated Sensing and Communications 6G Systems
Published:
Abstract: Integrated Sensing and Communication (ISAC) is emerging as a cornerstone technology for future 6G networks, enabling wireless environments that can support advanced communication and sensing. In this talk, we characterize SAC performance in by jointly optimizing the tradeoffs between sensing from a Bartlett perspective, and communication from outage SINR perspective. In particular, we formulate a framework that allows to achieve the aforementioned sensing and communication joint capabilities through beamforming. Our main results include the explicit dependencies of outage parameters on the SAC tradeoff. In particular, the correlation level between the steering vector towards the target and the channel between the dual functional radar-communication base station and the communication user directly impacts the ISAC trade-off.
Can Pilots be used for Integrated Sensing and Communications?
Published:
Abstract: Integrated sensing and communications (ISAC) systems for 6G promise to unlock unprece- dented efficiencies by merging wireless connectivity and target detection into a single platform. In this talk, we present a novel orthogonal pilot design for multi-user communications and target sensing in ISAC scenarios. Our approach begins with a mutual information (MI) analysis for both sensing and communication links, in addition to motivations and connections to channel capacity and probability of detection. Then, we formulate a multi-objective optimization problem (MOOP) that aims to simul- taneously maximize sensing and communication MIs. To manage this joint optimization, we simplify the MOOP into a single-objective formulation that reveals the inherent trade-offs between sensing and communication performance. Leveraging the projected gradient descent method on the Stiefel manifold, we derive closed-form gradient expressions that allow an efficient implementation of the algorithm. We demonstrate that our design significantly impacts communication performance while preserving strong target detection capabilities, showcasing by notable improvements in probability of detection for a fixed false-alarm probability. Moreover, we observe an information overlap phenomenon, highlighting how the inherent synergy in ISAC systems can be fully exploited.
Recent Advances on Integrated Sensing and Communications for 6G
Published:
Abstract: As the global wireless industry advances toward 6G, we are transitioning beyond traditional connectivity into a paradigm where networks must see and perceive their surroundings. Integrated sensing and communications (ISAC) has emerged as a fundamental technology, motivated by the need for spectrum efficiency, hardware resource sharing, and the demands of bandwidth-hungry applications like haptic telemedicine and autonomous driving, in addition to sensing the environment surrounding. However, this integration faces significant challenges, including the contrasting nature of sensing and communication objectives for waveforms, receiver design and the high peak-to-average power ratio (PAPR) inherent in modern waveforms. This talk presents a comprehensive overview of our research across broad lines of ISAC technology, demonstrating its multifaceted nature. For physical layer (PHY) ISAC design, at the transmitter side, I introduce novel ISAC beamforming and waveform techniques, which optimizes the use of the same signal both for target detection and for serving multiple communication users. Moreover, we will introduce ISAC pilots that have good properties in estimating the communication channel and sensing targets with proven impact on probability of detection and channel capacity. Moreover, at the receiver side, I showcase advancements in sensing estimation and imaging, including hybrid radar fusion models that combine monostatic and bistatic sensing. I also introduce deep learning and parametric methods for super-resolution joint estimation, in addition to an ISAC imaging modeling framework that utilizes ray-tracing-derived CSI to reconstruct 3D environments with high fidelity. Together, these research lines converge towards a perceptive 6G future. Addressing the critical pillar of security and privacy of ISAC, our work also explores secure beamforming and artificial noise (AN) generation for ISAC systems that ensure communication secrecy in the presence of malicious eavesdroppers which are also to be sensed, creating a dilemma. Finally, I present recent channel modeling and experimental work conducted characterizing the upper mid-band (FR3) spectrum (7.125-24.25 GHz), which provide essential empirical data including path loss and delay spreads that informed 3GPP standardization.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.