负载耦合无线网络中节能的最优小区分簇和激活
Optimal Cell Clustering and Activation for Energy Saving in Load-Coupled Wireless Networks
摘要：
优化基站传输的激活和去激活提供了用于提高蜂窝网络中的能量效率的手段。在本文中，我们研究了最优的细胞聚类和调度的激活时间为每个集群，以最小化的总能量，受时间约束的用户的流量需求。集群内的小区同时处于传输和打盹模式，分别具有集群激活和去激活。我们的优化框架考虑了由于相互干扰而导致的单元之间的耦合关系。因此，用户在小区中的可实现速率取决于集群组成。在理论方面，我们提供了数学公式和结构表征的能源效率的细胞聚类和调度优化问题，并证明其NP难度。在算法方面，我们首先展示了如何列生成促进问题的解决，然后提出我们的概念，本地枚举作为一个灵活而有效的手段，用于处理最优性和组合性质的集群形成之间的权衡，以及测量偏离最优性的目的。数值结果表明，我们的解决方案实现了超过60%的节能现有的计划，我们得到的解决方案是在几个百分点的偏差从全球最优。
英文摘要：
Optimizing activation and deactivation of base station transmissions provides an instrument for improving energy efficiency in cellular networks. In this paper, we study optimal cell clustering and scheduling of activation duration for each cluster, with the objective of minimizing the sum energy, subject to a time constraint of delivering the users' traffic demand. The cells within a cluster are simultaneously in transmission and napping modes, with cluster activation and deactivation, respectively. Our optimization framework accounts for the coupling relation among cells due to the mutual interference. Thus, the users' achievable rates in a cell depend on the cluster composition. On the theoretical side, we provide mathematical formulation and structural characterization for the energy-efficient cell clustering and scheduling optimization problem, and prove its NP hardness. On the algorithmic side, we first show how column generation facilitates problem solving, and then present our notion of local enumeration as a flexible and effective means for dealing with the trade-off between optimality and the combinatorial nature of cluster formation, as well as for the purpose of gauging the deviation from optimality. Numerical results demonstrate that our solutions achieve more than 60% energy saving over existing schemes, and that the solutions we obtain are within a few percent of deviation from global optimum.
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