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An energy-oriented optimization algorithm for solving the cell assignment problem in 4G-LTE communication networks

机译:一种解决4G-LTE通信网络中小区分配问题的面向能量的优化算法

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This paper presents a novel algorithm for solving the cell assignment problem with special emphasis on energy awareness. The algorithm aims at finding the minimum number of base stations (BSs) that have to be turned on to guarantee the required service to the maximum number of users at lowest cost. The main contribution of the algorithm is the design of an effective solution that ensures an optimal assignment in a subset of base stations N ⊆ N resulting in a drastic reduction of the search space within every subset N, eliminating the exponential growth over the number of users M, i.e. reducing the complexity from O(N) to O(1). A branch-and-bound approach has been designed to determine the optimal base station assignments. Experiments demonstrate that our solution performs as expected in terms of profit, served clients, and energy savings due to active BSs, at the expense of very reasonable execution time overhead.
机译:本文提出了一种新的算法来解决细胞分配问题,特别着重于能源意识。该算法旨在找到必须打开的最小数量的基站(BS),以最低的成本向最大数量的用户保证所需的服务。该算法的主要贡献是设计了一种有效的解决方案,可确保在基站N⊆N的子集中进行最佳分配,从而大大减少了每个子集N内的搜索空间,从而消除了用户数量的指数增长M,即将复杂度从O(N)降低到O(1)。设计了一种分支定界方法来确定最佳基站分配。实验表明,我们的解决方案在利润,服务客户以及由于活动BS带来的能源节省方面均达到了预期的效果,但以非常合理的执行时间开销为代价。

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