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Enhanced Subset Greedy Multiuser Scheduling in Clustered Cell-Free Massive MIMO Systems

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Author(s):
Mashdour, Saeed ; de Lamare, Rodrigo C. ; Lima, Joao P. S. H.
Total Authors: 3
Document type: Journal article
Source: IEEE COMMUNICATIONS LETTERS; v. 27, n. 2, p. 5-pg., 2023-02-01.
Abstract

In this work, we consider the problem of multiuser scheduling for the downlink of cell-free massive multi-input multi-output networks with clustering. In particular, we develop a multiuser scheduling algorithm based on an enhanced greedy method that is deployed with linear precoding and clustering. Closed-form expressions for the sum-rate performance are derived when imperfect channel state information is considered. The proposed scheduling algorithm is then analyzed along with its computational cost and network signaling load. Numerical results show that the proposed scheduling method outperforms the existing methods and in low signal-to-noise ratios, its performance becomes much closer to the optimal approach. (AU)

FAPESP's process: 15/24499-0 - Cloud radio access networks for 5th generation wireless communications: new concepts, algorithms and applications
Grantee:Rodrigo Caiado de Lamare
Support Opportunities: Research Projects - Thematic Grants