Multi-Target Integrated Sensing and Communications in Massive MIMO Systems

2024/10/29 by Ozan Topal, Topal, Ozan Alp, Özlem Tuğfe Demir +5 · 1 citation
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #Antenna Design and Optimization #Energy Harvesting in Wireless Networks

paper · pdf · doi:10.48550/arxiv.2410.22532

Abstract

Integrated sensing and communications (ISAC) allows networks to perform sensing alongside data transmission. While most ISAC studies focus on single-target, multi-user scenarios, multi-target sensing is scarcely researched. This letter examines the monostatic sensing performance of a multi-target massive MIMO system, aiming to minimize the sum of Cramér-Rao lower bounds (CRLBs) for target direction-of-arrival estimates while meeting user equipment (UE) rate requirements. We propose several precoding schemes, comparing sensing performance and complexity, and find that sensing-focused precoding with power allocation for communication achieves near-optimal performance with 20 times less complexity than joint precoding. Additionally, time-sharing between communication and sensing outperforms simple time division, highlighting the benefits of resource-sharing for ISAC.

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• Dual-Function Beam Pattern Design for Multi-Target ISAC Systems: A Decoupled Approach

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