MMSE-Based Resource Allocation for Clustered Cell-Free Massive MIMO Networks
Konferenz: WSA & SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
27.02.2023–03.03.2023 in Braunschweig, Germany
Tagungsband: ITG-Fb. 308: WSA & SCC 2023
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Mashdour, Saeed (Centre for Telecommunications Studies, Pontifical Catholic University of Rio de Janeiro, Brazil)
de Lamare, Rodrigo C. (Centre for Telecommunications Studies, Pontifical Catholic University of Rio de Janeiro, Brazil & Department of Electronic Engineering, University of York, UK)
Schmeink, Anke (Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany)
Lima, Joao P. S. H. (CPQD, Campinas, Brazil)
Inhalt:
In this paper, a downlink cell-free massive multiple-input multiple-output (CF massive MIMO) system and a network clustering is considered. Closed form sum-rate expressions are derived for CF and the clustered CF (CLCF) networks where linear precoders included zero forcing (ZF) and minimum mean square error (MMSE) are implemented. An MMSE-based resource allocation technique with multiuser scheduling based on an enhanced greedy technique and power allocation based on the gradient descent (GD) method is proposed in the CLCF network to improve the system performance. Numerical results show that the proposed technique is superior to the existing approaches and the computational cost and the signaling load are essentially reduced in the CLCF network.