Multiuser Scheduling with Enhanced Greedy Techniques for Multicell and Cell-Free Massive MIMO Systems

Abstract

In this work, we investigate the sum-rate performance of multicell and cell-free massive multi-input multi-output (MIMO) systems using linear precoding and multiuser scheduling algorithms. We consider a network-centric clustering approach to reduce the computational cost of the techniques applied to cell-free systems. We then develop a greedy algorithm that considers multiple candidates for the subset of users to be scheduled and that approaches the performance of the optimal exhaustive search. We assess the proposed and existing scheduling algorithms in both multicell and cell-free networks with the same coverage area. Numerical results illustrate the sum-rate performance of the proposed scheduling algorithm against existing approaches.