Max-Min Fairness and PHY-Layer Design of Uplink MIMO Rate-Splitting Multiple Access with Finite Blocklength
Jiawei Xu, Bruno Clerckx

TL;DR
This paper explores uplink MIMO Rate-Splitting Multiple Access (RSMA) in short-packet wireless communications, proposing an optimization framework and demonstrating its advantages over traditional schemes through detailed simulations.
Contribution
It introduces a novel uplink MIMO RSMA framework with optimized precoders and combiners under finite blocklength constraints, using an AO and SCA approach.
Findings
RSMA achieves higher max-min throughput than SDMA and NOMA.
The proposed scheme is robust to network load variations.
LLS confirms improved performance with message splitting.
Abstract
Rate-Splitting Multiple Access (RSMA) has emerged as a potent and reliable multiple access and interference management technique in wireless communications. While downlink Multiple-Input Multiple-Ouput (MIMO) RSMA has been widely investigated, uplink MIMO RSMA has not been fully explored. In this paper, we investigate the performance of uplink RSMA in short-packet communications with perfect Channel State Information at Transmitter (CSIT) and Channel State Information at Receiver (CSIR). We propose an uplink MIMO RSMA framework and optimize both precoders and combiners with Max-Min Fairness (MMF) metric and Finite Blocklength (FBL) constraints. Due to the high coupling between precoders and combiners, we apply the Alternating Optimization (AO) to decompose the optimization problem into two subproblems. To tackle these subproblems, we propose a Successive Convex Approximation (SCA)-based…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Technologies · Cooperative Communication and Network Coding
