首页|Proactive Caching for Energy-Efficiency in Wireless Networks: A Markov Decision Process Approach
Proactive Caching for Energy-Efficiency in Wireless Networks: A Markov Decision Process Approach
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Content caching in wireless networks provides a substantial opportunity to trade off low cost memory storage with energy consumption， yet finding the optimal causal policy with low computational complexity remains a challenge。 This paper models the Joint Pushing and Caching (JPC) problem as a Markov Decision Process (MDP) and provides a solution to determine the optimal randomized policy。 A novel approach to decouple the influence from buffer occupancy and user requests is proposed to turn the high-dimensional optimization problem into three low-dimensional ones。 Furthermore， a non-iterative algorithm to solve one of the sub-problems is presented， exploiting a structural property we found as generalized monotonicity， and hence significantly reduces the computational complexity。 The result attains close performance in comparison with theoretical bounds from non-causal policies， while benefiting from higher time efficiency than the unadapted MDP solution。
Energy consumptionOptimizationMarkov processesComputational complexityComputational modelingServersWireless networks
Zhijie Chen、Hoshyar Mohammed、Wei Chen
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IEEE International Conference on Communications
Kansas City(US)
2018 IEEE International Conference on Communications
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