English

Full-Duplex Beamforming Optimization for Near-Field ISAC

Signal Processing 2025-08-21 v1

Abstract

Integrated Sensing and Communications (ISAC) is a promising technology for future wireless networks, enabling simultaneous communication and sensing using shared resources. This paper investigates the performance of full-duplex (FD) communication in near-field ISAC systems, where spherical-wave propagation introduces unique beam-focusing capabilities. We propose a joint optimization framework for transmit and receive beamforming at the base station to minimize transmit power while satisfying rate constraints for multi-user downlink transmission, multi-user uplink reception, and multi-target sensing. Our approach employs alternating optimization combined with semidefinite relaxation and Rayleigh quotient techniques to address the non-convexity of the problem. Simulation results demonstrate that FD-enabled near-field ISAC achieves superior power efficiency compared to half-duplex and far-field benchmarks, effectively detecting targets at identical angles while meeting communication requirements.

Keywords

Cite

@article{arxiv.2508.14753,
  title  = {Full-Duplex Beamforming Optimization for Near-Field ISAC},
  author = {Ahsan Nazar and Zhambyl Shaikhanov and Sennur Ulukus},
  journal= {arXiv preprint arXiv:2508.14753},
  year   = {2025}
}
R2 v1 2026-07-01T04:58:34.161Z