Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications

TL;DR

This paper proposes a flexible RSMA-based scheme for near-field wireless communications that jointly optimizes beam scheduling, power, and user selection to enhance throughput for additional users while maintaining legacy user rates.

Contribution

It introduces a novel joint optimization framework for beam scheduling and resource allocation in near-field communications using flexible RSMA, addressing interference management and maximizing sum rate.

Findings

Significant throughput gains over benchmarks.

Effective interference management with RSMA.

Joint optimization improves resource utilization.

Abstract

Supporting immense throughput and ubiquitous connectivity holds paramount importance for future wireless networks. To this end, this letter focuses on how the spatial beams configured for legacy near-field (NF) users can be leveraged to serve extra NF or far-field users while ensuring the rate requirements of legacy NF users. In particular, a flexible rate splitting multiple access (RSMA) scheme is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode the common stream. Beam scheduling, power allocation, common rate allocation, and user selection are jointly optimized to maximize the sum rate of additional users. To solve the formulated discrete non-convex problem, it is split into three subproblems. The accelerated bisection searching, quadratic transform, and simulated annealing approaches are developed to attack them. Simulation results reveal that the proposed transmit scheme and algorithm achieve significant gains over three competing benchmarks.