Rate Optimization with Distributed Network Coordination of Multiuser MIMO Communications

摘要

An adaptive rate optimization solution is presented to utilize the benefits of multiuser multiple-input multiple-output (MU-MIMO) communications in a wireless network with distributed and decentralized control that adapts to dynamic channel, interference, and traffic conditions. First, the ergodic sum rates of MIMO multiple access channel (MAC) and interference channel (IC) configurations are determined by jointly integrating the error and overhead effects due to channel estimation (training) and feedback into the rate optimization. Then, a distributed channel access protocol that leverages local information without any centralized scheduler is developed to select and activate MU-MIMO configurations with the maximum achievable sum rates depending on channel, interference, and traffic conditions. In a mobile ad hoc network (MANET), MU-MIMO is shown to provide major gains in network throughput (after accounting for the control message overhead) compared with single antenna and point-to-point (P2P) MIMO communications.