Uplink resource allocation optimization for user-centric cell-free MIMO networks

Abstract

We examine the problem of optimizing resource allocation in the uplink for a user-centric, cell-free, multi-input multi-output network. We start by modeling and developing resource allocation algorithms for two standard network operation modes. The centralized mode provides high data rates but suffers multiple issues, including scalability. On the other hand, the distributed mode has the opposite problem: relatively low rates, but is scalable. To address these challenges, we combine the strength of the two standard modes, creating a new semi-distributed operation mode. To avoid the need for information exchange between access points, we introduce a new quality of service metric to decentralize the resource allocation algorithms. Our results show that we can eliminate the need for information exchange with a relatively small penalty on data rates.

To appear in IEEE Transactions on Wireless Communications, 16 pages, 9 figures

References in corpus (5)

• A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
• Fractional Programming for Communication Systems--Part II: Uplink Scheduling via Matching
• Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO
• Scalability Aspects of Cell-Free Massive MIMO
• Linear Precoding and Equalization for Network MIMO with Partial Cooperation