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Energy and Spectral Efficiency Tradeoff With User Association and Power Coordination in Massive MIMO Enabled HetNets

机译:大规模启用MIMO的HetNet中用户关联和功率协调的能量和频谱效率权衡

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In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) while ensuring proportional rate fairness in massive multiple-input multiple-output enabled heterogenous networks, where user association and power coordination are jointly considered. It is first formulated as a multi-objective optimization problem, and then transformed into a single-objective optimization problem. To solve this mixed-integer non-convex problem, an effective algorithm is developed, where the original problem is separated into lower level power coordination problem and master user association problem. Simulation results verify that our proposed algorithm can significantly improve the performance of EE-SE tradeoff and obtain higher rate fairness compared with other algorithms.
机译:在这封信中,我们研究了能效(EE)与频谱效率(SE)之间的权衡,同时确保了在大规模多输入多输出使能异构网络中的比例速率公平性,在该异构网络中,用户关联和功率协调被共同考虑。它首先被公式化为一个多目标优化问题,然后转化为一个单目标优化问题。为了解决该混合整数非凸问题,开发了一种有效的算法,将原始问题分为较低级别的功率协调问题和主用户关联问题。仿真结果表明,与其他算法相比,本文提出的算法可以显着提高EE-SE的权衡性能,并获得更高的速率公平性。

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