Information Theory and Waveforms for Joint Sensing and Communication in Mobility-Driven Networks
Final Report Abstract
During the course of this project, we have produced new theoretical results and algorithms that advance the field of joint sensing and communication, especially in high mobility scenarios. The knowledge acquired provides guidelines for system design and illustrates the benefits of joint processing. On the theoretical side, we proved new rate-distortion bounds for state-dependent point-to-point, broadcast and multiple access channels. Those results provided relevant information towards a better understanding of the tradeoffs encountered when simultaneously transmitting information and estimating a state. The role of generalized feedback within this framework was also analyzed in depth. Concerning the applied work, our main focus was on mmWave setups and multi-antenna devices. Here we derived detection, estimation and tracking algorithms in joint radar and communication scenarios where standard communication waveforms were used. In some cases, we could show that the estimation performance does not decrease with respect to modern radar waveforms that do not carry information. We placed emphasis on hardware setups that are energy friendly and easy to fabricate.
Publications
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Joint State Sensing and Communication over Memoryless Multiple Access Channels. 2019 IEEE International Symposium on Information Theory (ISIT). IEEE.
Kobayashi, Mari; Hamad, Hassan; Kramer, Gerhard & Caire, Giuseppe
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On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication. IEEE Transactions on Wireless Communications, 19(9), 5951-5965.
Gaudio, Lorenzo; Kobayashi, Mari; Caire, Giuseppe & Colavolpe, Giulio
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Adaptive Two-Sided Beam Alignment in mmWave via Posterior Matching. 2020 IEEE Information Theory Workshop (ITW), 1-5. IEEE.
Pedraza, Fernando & Caire, Giuseppe
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Beam Refinement and User State Acquisition via Integrated Sensing and Communication with OFDM. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 476-480. IEEE.
Pedraza, Fernando; Kobayashi, Mari & Caire, Giuseppe
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Joint Sensing and Communication over Memoryless Broadcast Channels. 2020 IEEE Information Theory Workshop (ITW). IEEE.
Ahmadipour, Mehrasa; Wigger, Michele & Kobayashi, Mari
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Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs. 2022 IEEE International Symposium on Information Theory (ISIT), 3025-3030. IEEE.
Ahmadipour, Mehrasa; Wigger, Michele & Kobayashi, Mari
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Simultaneous Communication and Tracking in Arbitrary Trajectories via Beam-Space Processing. 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM), 236-240. IEEE.
Pedraza, Fernando; Dehkordi, Saeid K.; Kobayashi, Mari & Caire, Giuseppe
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Fundamental Limits for ISAC: Information and Communication Theoretic Perspective. Integrated Sensing and Communications, 23-52. Springer Nature Singapore.
Liu, An; Li, Min; Kobayashi, Mari & Caire, Giuseppe
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Neurally Augmented State Space Model for Simultaneous Communication and Tracking with Low Complexity Receivers. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1-5. IEEE.
Pedraza, Fernando & Caire, Giuseppe
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An Information-Theoretic Approach to Joint Sensing and Communication. IEEE Transactions on Information Theory, 70(2), 1124-1146.
Ahmadipour, Mehrasa; Kobayashi, Mari; Wigger, Michele & Caire, Giuseppe
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Information Theoretic Aspects of Joint Sensing and Communications. Signal Processing for Joint Radar Communications, 130-153. Wiley.
Kobayashi, Mari & Caire, Giuseppe
