Traffic-Aware Power Adaptation and Base Station Sleep Control for Energy-Delay Tradeoffs in Green Cellular Networks
Traffic-aware resource allocation and Base Station (BS) sleep control are key methods for energy saving in cellular networks. In this paper, first, the authors consider the control problem of how to adapt transmit power according to flow-level traffic variations, which leverages the tradeoff between energy consumption and delay performance. Based on different time scales of traffic variations, two power adaptation strategies are investigated: load-aware and queue-aware. The two strategies adapt transmit power according to flow arrival rate and instantaneous number of flows, respectively. Optimal solutions are given for both strategies. Since the optimal solution of the queue-aware strategy has no explicit form, tight bounds are derived as an approximation.