Energy and Spectral Efficiency Tradeoff With User Association and Power Coordination in Massive MIMO Enabled HetNets
Energy and Spectral Efficiency Tradeoff With User Association and Power Coordination in Massive MIMO Enabled HetNets
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DOI：
10.1109/lcomm.2016.2597832
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发表时间：
2016-08
期刊：
影响因子：
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通讯作者：
Yuanyuan Hao;Q. Ni;Hai Li;Shujuan Hou
中科院分区：
文献类型：
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作者：
Yuanyuan Hao;Q. Ni;Hai Li;Shujuan Hou
在这封信中，我们调查之间的权衡能源效率（EE）和频谱效率（SE），同时确保在大规模的多输入多输出使异构网络，用户关联和功率协调的比例速率公平性共同考虑。首先将其表述为多目标优化问题，然后将其转化为单目标优化问题。针对这一混合整数非凸问题，提出了一种有效的算法，将原问题分解为下层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，该算法能显著改善EE-SE权衡性能，获得更高的速率公平性。
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.