Computer Science > Information Theory
[Submitted on 17 Mar 2022 (v1), last revised 23 Mar 2022 (this version, v2)]
Title:Coordinated Power Control for Network Integrated Sensing and Communication
View PDFAbstract:This correspondence paper studies a network integrated sensing and communication (ISAC) system that unifies the interference channel for communication and distributed radar sensing. In this system, a set of distributed ISAC transmitters send individual messages to their respective communication users (CUs), and at the same time cooperate with multiple sensing receivers to estimate the location of one target. We exploit the coordinated power control among ISAC transmitters to minimize their total transmit power while ensuring the minimum signal-to-interference-plus-noise ratio (SINR) constraints at individual CUs and the maximum Cramér-Rao lower bound (CRLB) requirement for target location estimation. Although the formulated coordinated power control problem is non-convex and difficult to solve in general, we propose two efficient algorithms to obtain high-quality solutions based on the semi-definite relaxation (SDR) and CRLB approximation, respectively. Numerical results show that the proposed designs achieve substantial performance gains in terms of power reduction, as compared to the benchmark with a heuristic separate communication-sensing design.
Submission history
From: Yi Huang [view email][v1] Thu, 17 Mar 2022 02:15:11 UTC (1,271 KB)
[v2] Wed, 23 Mar 2022 10:15:06 UTC (1,271 KB)
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