Joint Power Control and Access Point Scheduling in Fronthaul-Constrained Uplink Cell-Free Massive MIMO Systems

Abstract

Cell-free (CF) massive Multiple-Input Multiple-Output (MIMO) with large number of distributed access points (APs) has emerged as a new paradigm allowing higher macro diversity for randomly distributed users. However, the fronthaul traffic bandwidth between central processing unit and the APs can explode in particular in the uplink, requiring expensive star-topology with point-to-point fronthaul links. To achieve a scalable CF massive MIMO architecture and a cost-effective fronthauling solution, we consider, in this paper, a point-to-multipoint fronthaul topology where (a subset of) the APs share a serial fronthaul link offering a per-user limited fronthaul bandwidth. We develop a novel unified optimization framework for iterative power control and AP scheduling that provides a systematic user-centric solution towards scalable uplink CF massive MIMO. Experimental results show that power control is not sufficient to guarantee the best objective and, therefore, the appropriate association of the users to the APs is required to improve the overall system signal-to-noise ratio. Under the stringent fronthaul bandwidth, the proposed joint optimization framework results in i) significant 5% outage data rate increase ii) near uniform distribution of the served users per APs and, hence, an increased diversity and iii) fast convergence of the algorithm within a few iterations.