Beam-Focusing for Near-Field ISAC Systems

Ping Sun, Haiyang Zhang, Francesco Guidi, Davide Dardari, Baoyun Wang, Yonina C. Eldar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers near-field integrated sensing and communication (ISAC) systems, where both potential targets and communication users are located within the near-field region of a base station equipped with an extremely large-scale antenna array. Under such a scenario, we study the near-field beam-focusing design to maximize the minimum beam pattern gain for radar sensing while ensuring the communication requirements are met. We solve the corresponding non-convex optimization problem globally optimally by leveraging the semi-definite relaxation method, and also provide a low-complexity suboptimal solution. Numerical results illustrate that beam-focusing is capable of detecting multiple targets located at identical angles. By unveiling this potential, our work pioneers the application of beam-focusing to facilitate concurrent radar sensing and communication tasks.

Original languageEnglish
Title of host publication2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024
Pages241-245
Number of pages5
ISBN (Electronic)9798350393187
DOIs
StatePublished - 2024
Event25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024 - Lucca, Italy
Duration: 10 Sep 202413 Sep 2024

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024
Country/TerritoryItaly
CityLucca
Period10/09/2413/09/24

Keywords

  • Near-field
  • beam-focusing
  • integrated sensing and communication

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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