Unified Interference-Aware Water-Filling for QoS-Constrained Communication, Sensing, and JRC

TL;DR

This paper introduces a unified water-filling algorithm that manages interference and QoS constraints across communication, sensing, and JRC in MIMO systems, addressing the heterogeneity of 6G requirements.

Contribution

It proposes a novel interference-aware, QoS-constrained water-filling algorithm for multi-user MIMO systems supporting diverse 6G services.

Findings

Effective power allocation balancing interference and QoS.

Supports heterogeneous user requirements in MIMO systems.

Enhances capacity and spectral efficiency in 6G scenarios.

Abstract

Water-filling (WF) algorithms are pivotal in maximizing capacity and spectral efficiency in multiple-input and multiple-output (MIMO) systems. However, traditional WF approaches cater solely to communication requirements, neglecting the emerging heterogeneity of 6G, including sensing and joint radar-communication (JRC). As these diverse demands grow in importance and have different Quality of Service (QoS) constraints, traditional WF becomes inadequate. Therefore, in this paper, we propose a unified interference-aware and QoS-constrained WF algorithm for systems with communication, sensing, and JRC. The proposed algorithm enables power allocation for multi-user MIMO systems, effectively addressing interference and balancing the support for heterogeneous user requirements.