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首页> 外文期刊>IEEE Transactions on Communications >Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks
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Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks

机译:5G超密集网络中可感知干扰的能效最大化

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摘要

Ultra-dense networks can further improve the spectrum efficiency (SE) and the energy efficiency (EE). However, the interference avoidance and the green design are becoming more complex due to the intrinsic densification and scalability. It is known that the much denser small cells are deployed, the more cooperation opportunities exist among them. In this paper, we characterize the cooperative behaviors in the Nash bargaining cooperative game-theoretic framework, where we maximize the EE performance with a certain sacrifice of SE performance. We first analyze the relationship between the EE and the SE, based on which we formulate the Nash-product EE maximization problem. We achieve the closed-form sub-optimal SE equilibria to maximize the EE performance with and without the minimum SE constraints. We finally propose a CE2MG algorithm, and numerical results verify the improved EE and fairness of the presented CE2MG algorithm compared with the non-cooperative scheme.
机译:超密集网络可以进一步提高频谱效率(SE)和能效(EE)。然而,由于固有的致密性和可扩展性,避免干扰和绿色设计变得越来越复杂。众所周知,部署的小型小区越密集,它们之间存在更多的合作机会。在本文中,我们刻画了纳什讨价还价合作博弈理论框架中的合作行为,在该博弈中我们以牺牲SE性能为代价来最大化EE性能。我们首先分析EE和SE之间的关系,然后在此基础上制定Nash-product EE最大化问题。我们实现了封闭形式的次优SE平衡,可以在有和没有最小SE约束的情况下最大化EE性能。我们最终提出了一种CE2MG算法,并且数值结果验证了与非合作方案相比,所提出的CE2MG算法的改进的EE和公平性。

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