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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms
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Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms

机译:绿色密集蜂窝网络中的资源分配:复杂性和算法

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摘要

This paper studies the problem of user association, deadline scheduling and channel allocation in dense cellular networks with energy harvesting base stations. The objective is to maximize the number of associated and scheduled users while allocating the available channels to the users and respecting the energy and deadline constraints. First, the computational complexity of this problem is characterized by studying its NP-hardness in different cases. Next, efficient algorithms are proposed in each case. The case of single channel and single base station is solved by proposing polynomial-time optimal algorithms. The case of single channel and multiple base stations is solved by proposing an efficient constant-factor approximation algorithm. The case of multiple channels is solved by proposing efficient heuristic algorithms. Our theoretical analysis are supplemented by simulation results to illustrate the performance of the proposed algorithms.
机译:本文研究了具有能量收集基站的密集蜂窝网络中的用户关联,截止期限调度和信道分配问题。目标是在关联可用的用户和预定用户的同时最大化其数量,同时为用户分配可用的渠道并遵守精力和期限限制。首先,通过研究不同情况下的NP硬度来表征此问题的计算复杂性。接下来,在每种情况下都提出了有效的算法。通过提出多项式时间最优算法,解决了单信道单基站的情况。通过提出一种有效的恒定因子近似算法,解决了单信道和多个基站的情况。通过提出有效的启发式算法解决了多通道的情况。仿真结果补充了我们的理论分析,以说明所提出算法的性能。

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