Efficient Parallel Schemes for Cell-free Massive MIMO Using Radio Stripes

TL;DR

This paper introduces efficient parallel processing schemes for radio stripe-based cell-free massive MIMO systems, enhancing performance through interference-aware and distributed zero-forcing methods, validated by simulations.

Contribution

It proposes two novel parallel schemes, interference-aware MR and D-RZF, improving performance over traditional methods in radio stripe cell-free massive MIMO.

Findings

Proposed schemes outperform existing methods in simulations.

Interference-aware MR improves signal quality.

D-RZF achieves better interference mitigation.

Abstract

Cell-free massive MIMO provides ubiquitous connectivity for multiple users, and implementation using radio stripes is very efficient. This paper proposes a parallel scheme for radio stripes to allow access point to do signal processing simultaneously. Simple maximum ratio (MR) processing works in this scheme, but its performance is bad. Therefore, this paper further proposes two efficient parallel schemes to gain better performance. The first is interference-aware MR processing with a tailored user-centric strategy. The second is distributed regularized zero-forcing (D-RZF) algorithm which derives from LMMSE. Simulation results show that the proposed parallel schemes gain better performance than existing works.