Spatial Multi-User Pairing for Uplink Virtual-MIMO Systems with Linear Receiver

This paper investigates the spatial resource allocation algorithms for the uplink Virtual-MIMO (Multiple Input and Multiple Output) systems, where K client users (each with one or multiple antennas) are served by one multiple-antenna BS (Base Station). To fully exploit the spatial multi-user diversity gain, the finding of the optimal spatial co-channel users is discussed, which is formulated as a mixed binary integer programming problem. Based on the property of hermitian matrix, simulated annealing is used to recursively find the suboptimal spatial co-channel user group. By simulation results, our proposed strategy has almost the same system throughput performance as the optimal greedy algorithm, and can maintain lower computation complexity.