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Policy Optimization for Content Push via Energy Harvesting Small Cells in Heterogeneous Networks

机译:通过能量收集小细胞进行内容推送的策略优化   在异构网络中

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摘要

Motivated by the rapid development of energy harvesting technology andcontent-aware communication in access networks, this paper considers the pushmechanism design in small-cell base stations (SBSs) powered by renewableenergy. A user request can be satisfied by either push or unicast from the SBS.If the SBS cannot handle the request, the user is blocked by the SBS and isserved by the macro-cell BS (MBS) instead, which typically consumes moreenergy. We aim to minimize the ratio of user requests blocked by the SBS. Withfinite battery capacity, Markov decision process based problem is formulated,and the optimal policy is found by dynamic programming (DP). Twothreshold-based policies are proposed: the push-only threshold-based (POTB)policy and the energy-efficient threshold-based (EETB) policy, and theclosed-form blocking probabilities with infinite battery capacity are derived.Numerical results show that the proposed policies outperform the conventionalnon-push policy if the content popularity changes slowly or the content requestgenerating rate is high, and can achieve the performance of the greedy optimalthreshold-based (GOTB) policy. In addition, the performance gap between thethreshold-based policies and the DP optimal policy is small when the energyarrival rate is low or the request generating rate is high.
机译:受到能量收集技术和接入网络中内容感知通信的飞速发展的推动,本文考虑了采用可再生能源驱动的小型基站(SBS)中的推送机制设计。用户的请求可以通过SBS的推送或单播来满足,如果SBS无法处理该请求,则该用户将被SBS阻止并由宏小区BS(MBS)服务,这通常会消耗更多能量。我们的目标是使SBS阻止的用户请求比例最小。在电池容量有限的情况下,提出了基于马尔可夫决策过程的问题,并通过动态规划(DP)找到了最优策略。提出了两种基于阈值的策略:仅推式基于阈值的策略(POTB)和基于能效阈值的策略(EETB),并推导了具有无限电池容量的闭合形式的阻塞概率。如果内容流行度变化缓慢或内容请求生成率很高,则这些策略的性能将优于传统的非推送策略,并且可以实现基于贪婪最优阈值(GOTB)策略的性能。另外,当能量到达率较低或请求生成率较高时,基于阈值的策略与DP最佳策略之间的性能差距较小。

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