Dynamic Clustering and Pilot Assignment for Optimizing Cell-Free Massive MIMO Uplink

Antonio B Bigonha, Daniel Araújo, Julia B Silva

DOI: 10.14209/sbrt.2023.1570923346

Evento: XLI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2023)

Keywords:

Abstract

The increasing demand for higher rates and uniformity of rates among users has given rise to one new system in which the user is served by more than one Access Point. In such systems, one challenge is to find the optimal cluster of Access Points to serve the user. One way of doing that has been proposed by greedy pilot assignment and clustering, however such a way resorts to the knowledge of the large-scale coefficients of the channel between users and Access Points. This paper aims to find an algorithm that not only keeps system performance stable but also can be performed on more realistic systems, without knowledge of the channel and the large-scale coefficients besides having a low complexity, reduced to computing correlation matrices.

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