Clustering and Scheduling With Fairness Based on Information Rates for Cell-Free MIMO Networks

IEEE Wireless Communications Letters, vol. 13, pp. 1798–1802

Abstract

In this work, we propose a clustering technique based on information rates for cell-free massive multiple-input multiple-output (MIMO) networks. Unlike existing clustering approaches that rely on the large scale fading coefficients of the channels and user-centric techniques, we develop an approach that is based on the information rates of cell-free massive MIMO networks. We also devise a resource allocation technique to incorporate the proposed clustering and schedule users with fairness. An analysis of the proposed clustering approach based on information rates is carried out along with an assessment of its benefits for scheduling. Numerical results show that the proposed techniques outperform existing approaches.

Authors 5

1. Saeed Mashdour

   Pontifícia Universidade Católica do Rio de Janeiro

   Affiliation as printed

   Department of Electrical Engineering (DEE), Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

2. Shirin Salehi Aachen Chair of Information Theory and Data Analytics

   RWTH Aachen University

   Affiliation as printed

   Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany

3. Rodrigo C. de Lamare

   Pontifícia Universidade Católica do Rio de Janeiro · University of York

   Affiliation as printed

   Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

   University of York, UK

4. Anke Schmeink Aachen Chair of Information Theory and Data Analytics

   RWTH Aachen University

   Affiliation as printed

   Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany

5. João P. S. H. Lima

   Centre for Research and Development in Telecommunications (Brazil)

   Affiliation as printed

   Connectivity Solutions Department, CPqD, Campinas, Brazil