Mutual Information Metrics for Uplink MIMO-OFDM Integrated Sensing and Communication System

TL;DR

This paper introduces an uplink MIMO-OFDM ISAC system that uses mutual information as a unified metric to optimize waveform performance, achieving superior communication and sensing capabilities.

Contribution

It proposes a novel MI-based optimization framework for uplink MIMO-OFDM ISAC systems, deriving bounds and enhancing waveform design.

Findings

Proposed MI bounds for communication and sensing.

Optimized waveform maximizes weighted MI sum.

Simulation shows superior performance over existing schemes.

Abstract

As the uplink sensing has the advantage of easy implementation, it attracts great attention in integrated sensing and communication (ISAC) system. This paper presents an uplink ISAC system based on multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) technology. The mutual information (MI) is introduced as a unified metric to evaluate the performance of communication and sensing. In this paper, firstly, the upper and lower bounds of communication and sensing MI are derived in details based on the interaction between communication and sensing. And the ISAC waveform is optimized by maximizing the weighted sum of sensing and communication MI. The Monte Carlo simulation results show that, compared with other waveform optimization schemes, the proposed ISAC scheme has the best overall performance.