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Total energy minimization through dynamic station-user connection in macro-relay network

机译:通过宏中继网络中的动态站-用户连接,将总能量最小化

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摘要

In this paper, we investigate the energy efficiency problem in macro-relay network. Considering users with different locations and rate requirements, our objective is to serve all users with strict rate guarantee and meanwhile minimize the total energy consumption of the network. First, we formulate an integer optimization problem with the variables as stationuser connections. Then we analyze the complexity of the optimal brute-force search (BFS) method and propose a practical algorithm, i.e., serving station selection for energy minimization (SSSEM). The proposed SSSEM algorithm dynamically alters user's serving station according to both the radio frequency energy and the circuit energy, thus minimizing the total energy consumption of the network. Extensive simulations are conducted and the results show that, compared with existing schemes, the proposed SSSEM algorithm can significantly reduce the total energy consumption of the network, and meanwhile achieve the optimum of BFS.
机译:在本文中,我们研究了宏中继网络中的能源效率问题。考虑到具有不同位置和费率要求的用户,我们的目标是为所有用户提供严格的费率保证,同时将网络的总能耗降至最低。首先,我们用变量作为站用户连接来表达整数优化问题。然后,我们分析了最佳蛮力搜索(BFS)方法的复杂性,并提出了一种实用的算法,即用于能量最小化的服务站选择(SSSEM)。所提出的SSSEM算法根据射频能量和电路能量动态地改变用户的服务站,从而使网络的总能耗最小。进行了广泛的仿真,结果表明,与现有方案相比,所提出的SSSEM算法可以显着降低网络的总能耗,同时达到最优的BFS。

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