Autonomous Decentralized TRP Group Selection to Maximize System Throughput in Downlink Distributed MIMO System

This paper proposes a method to select a set of transmission reception points (TRPs) (TRP group) to be connected for each user equipment (UE) to maximize the system throughput defined based on the generalized mean of user throughput in downlink distributed multi-input multi-output (MIMO) system. As a realistic assumption, the TRP groups are assumed to be predetermined within the system coverage. The proposed method is realized by an autonomous decentralized control among UEs and TRP groups, which is favorable for implementation in a large-scale network. In the proposed method, each TRP group independently informs all UEs of supplementary information regarding the bandwidth allocated to newly connected UEs. Based on this information, each UE calculates a metric for selecting a TRP group and feeds back the metric value to the best TRP group showing the highest metric. Finally, each TRP group determines the UE to be newly connected, thus, to be handed over from other TRP groups based on the metrics reported by multiple UEs. By repeating the above process, the selection of a TRP group for all UEs that maximizes the system throughput is realized. Computer simulations quantitatively demonstrate the effectiveness of the proposed method compared to the conventional received signal power-based method.