Integrated Monostatic Sensing and Full-Duplex Multiuser Communication for mmWave Systems

TL;DR

This paper introduces a hybrid precoding and combining framework for mmWave systems that enables simultaneous multiuser full-duplex communication and monostatic sensing, effectively managing interference and optimizing performance.

Contribution

It presents a novel joint design of precoders and combiners for integrated sensing and communication at mmWave frequencies, addressing self-interference and multiuser interference in a hybrid architecture.

Findings

Efficient simultaneous support for sensing and multiuser communication.

Effective mitigation of self-interference at the base station.

Improved communication and sensing performance demonstrated.

Abstract

In this paper, we propose a hybrid precoding/combining framework for communication-centric integrated sensing and full-duplex (FD) communication operating at mmWave bands. The designed precoders and combiners enable multiuser (MU) FD communication while simultaneously supporting monostatic sensing in a frequency-selective setting. The joint design of precoders and combiners involves the mitigation of self-interference (SI) caused by simultaneous transmission and reception at the FD base station (BS). Additionally, MU interference needs to be handled by the precoder/combiner design. The resulting optimization problem involves non-convex constraints since hybrid analog/digital architectures utilize networks of phase shifters. To solve the proposed problem, we separate the optimization of each precoder/combiner, and design each one of them while fixing the others. The precoders at the FD BS are designed by reformulating the communication and sensing constraints as signal-to-leakage-plus-noise ratio (SLNR) maximization problems that consider SI and MU interference as leakage. Furthermore, we design the frequency-flat analog combiner such that the residual SI at the FD BS is minimized under communication and sensing gain constraints. Finally, we design an interference-aware digital combining stage that separates MU signals and target reflections. The communication performance and sensing results show that the proposed framework efficiently supports both functionalities simultaneously.