Channel state information feedback control game for energy efficient wireless networks

It is well recognized that channel state information (CSI) feedback plays a key role in the performance of closed-loop wireless networks. However, most work on energy efficiency (EE) typically studies this problem from the downlink data transmission point of view. In this paper, we propose an alternative approach to investigate the EE for wireless communication networks through controlling the channel state information (CSI) in the feedback link, in which a number of multiple-antenna mobile transmitters exchange information with their corresponding mobile receivers using linear precoding for interference reduction. Specially, we formulate this EE maximization problem in the analytical setting of a game theoretic framework, and propose a two-level Stackelberg-type CSI feedback control game (SCFC) to balance the bandwidth and power consumptions in a distributed manner. The existence of the equilibriums of such games is proved, and the convergence behavior is investigated. Simulation results show that by adjusting the pricing factor, the proposed distributed SCFC game effectively improves the EE performance.