Authors: Lei Xie, Fan Liu, Jiajin Luo, Shenghui Song

Published on: February 06, 2024

Impact Score: 8.15

Arxiv code: Arxiv:2402.03919

Summary

• What is new: The explicit evaluation of sensing mutual information (SMI) with random signals and its connection to traditional sensing metrics.
• Why this is important: Lack of a unified performance metric for both sensing and communication in integrated sensing and communication (ISAC) systems.
• What the research proposes: Derivation of an explicit expression for SMI with random signals and establishing connections to traditional sensing metrics to unify sensing and communication performance metrics.
• Results: Validated the theoretical results and demonstrated the effectiveness of the proposed precoding designs through simulation.

Technical Details

Technological frameworks used: Random matrix theory

Models used: Ergodic minimum mean square error (EMMSE), ergodic linear minimum mean square error (ELMMSE), ergodic Bayesian Cramér-Rao bound (EBCRB)

Data used: Simulation data

Potential Impact

Telecommunications, defense, automotive sectors, and manufacturers of ISAC systems and components.

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