On General Capacity-Distortion Formulas of Integrated Sensing and Communication

2023/10/17 by Chen, Yiqi, Oechtering, Tobias, Skoglund, Mikael +1 · 1 citation
#FOS: Computer and information sciences #Information Theory (cs.IT)

paper · doi:10.48550/arxiv.2310.11080

Abstract

The integrated sensing and communication (ISAC) problem with general state and channel distributions is investigated. General formulas of the capacity-distortion tradeoff for the ISAC problem under maximal and average distortion constraints are provided. The results cover some existing communication models such as the general point-to-point channel and Gel'fand-Pinsker channel. More details including memoryless states and channels, mixed states and channels, and rate-limited CSI at one side are considered. Numerical results focus on writing-on-dirty paper model and channel with ergodic/non-ergodic fading.

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• Fundamental Limits of Bistatic Integrated Sensing and Communications over Memoryless Relay Channels

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