An online learning approach to throughput optimization in wireless networks under dynamic and unknown interference conditions

摘要: In this paper, we consider a multi-user communication system with dynamically varying interference on block fading channels. We focus multi-antenna receiver, single-antenna transmitters, and the case in which receiver has no knowledge of channel state information, dynamics, variance additive noise. Pilot-assisted transmission techniques are employed to enable estimation at receiver. For given coherence length, increasing number pilots improves accuracy, tradeoff reduction data throughput. Thus, propose optimize pilot content within frame maximize average employ well-known cross-validation from machine learning literature simultaneously improve accuracy as well Simulation results proposed approach suggest that even when active interferers is larger than degrees freedom, least 85% ideal throughput can be achieved optimum overhead.