Low Power Wireless Communication via Reinforcement Learning

Part of Advances in Neural Information Processing Systems 12 (NIPS 1999)

Authors

Timothy Brown

Abstract

This paper examines the application of reinforcement learning to a wire(cid:173) less communication problem. The problem requires that channel util(cid:173) ity be maximized while simultaneously minimizing battery usage. We present a solution to this multi-criteria problem that is able to signifi(cid:173) cantly reduce power consumption. The solution uses a variable discount factor to capture the effects of battery usage.