Joint Delay and Energy Management for Cache-Enabled Ultra-Dense Cellular Networks: A Game-Theoretic Learning

摘要

Users enjoy various kinds of services on the cost of huge bandwidth and energy consumption. The user quality of experience can be improved and transmission delay can be reduced by applying cache on the ultra-dense radio access network side. Most of the previous works aim at improving the throughput or the delay performance by using many caching strategies while ignoring energy consumption. In this paper, unlike conventional caching strategies, we focus on the joint optimization of delay and energy consumption by using the Nash bargaining game, which can ensure good fairness. Game-theoretic learning is introduced to determine the convergence of the algorithm. With a unique caching strategy, a new utility function is designed in consideration of the delay cost and energy consumption. Finally, simulation results verify a good convergence of the cache placement algorithm and the efficiency of the existing caching strategy.