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MPSO-based power adjustment and user association algorithm for energy efficiency in LTE heterogeneous networks

机译：LTE异构网络中基于MPSO的能效调整和用户关联算法

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In this paper, we study the energy efficiency problem of the heterogeneous network composed of pico clusters deployed within the macro cells. We would like to find the optimal transmit power of the pico cells such that the energy efficiency of the cluster is the largest. A cell-specific cell selection bias is also considered so that each user may choose its serving cell in the most energy-efficient way. An energy efficient modified particle swarm optimization (MPSO)-based power allocation and user association algorithm is proposed that determines the transmit power and cell-selection bias for the picos in each macro cell. We present through simulation results the performance gain of the algorithm in terms of energy efficiency and spectrum efficiency over the spectral-efficient MPSO-based power adjustment algorithm and the maximum transmit power allocation scheme. Compared with the traditional user association scheme of maximum reference signal received power, we demonstrate the advantage of considering cell-selection bias in our algorithm.
机译：在本文中，我们研究了由宏小区内部署的微微簇组成的异构网络的能效问题。我们希望找到微微小区的最佳发射功率，以使集群的能量效率最大。还考虑了特定于小区的小区选择偏差，以便每个用户可以以最节能的方式选择其服务小区。提出了一种基于能效改进的粒子群优化（MPSO）的功率分配和用户关联算法，该算法确定每个宏小区中微微的发射功率和小区选择偏差。通过仿真结果，我们提出了基于频谱效率的基于MPSO的功率调整算法和最大发射功率分配方案，该算法在能量效率和频谱效率方面的性能增益。与最大参考信号接收功率的传统用户关联方案相比，我们证明了在算法中考虑小区选择偏差的优势。

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