Work

Multi-Target Integrated Sensing and Communications in Massive MIMO Systems

Year: 2024

Type: article

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.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2024.3501417

Authors: Ozan Alp Topal, Özlem Tuğfe Demir, Emil Björnson, Cicek Cavdar

Institutions: KTH Royal Institute of Technology, TOBB University of Economics and Technology

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $1,489

Funder: VINNOVA