Achieving power and energy efficiency in self-organizing networks
Achieving power and energy efficiency in self-organizing networks
复制标题
在自组织网络中实现电力和能源效率
DOI：
10.1109/ccnc.2017.7983227
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Lahoud
中科院分区：
文献类型：
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作者：
Bilal Maaz;K. Khawam;S. Tohmé;J. Nasreddine;S. Lahoud
本文的目标是提出一种实用的低复杂度的功率分配算法，罢工之间的频谱效率（SE）和功率节省的干扰受限的蜂窝网络的下行链路的良好平衡。由于密集的频率复用和高功率传输通常会导致大量的干扰，因此功率优化方案对于无线系统中的干扰管理至关重要。在自组织网络（SON）的框架中，可以有效地实现强大的功率优化方案。在这种情况下，我们诉诸非合作博弈论设计两个分布式功率分配方案。通过仅考虑SE，我们的第一功率控制游戏（PCG）算法（被认为是SE-PCG）提供高SE，但推动自主eNB消耗所有可用功率。为了解决这个缺点并提高能源效率（EE），我们提出了另一种PCG算法，称为EE-PCG，它对功耗进行惩罚。我们的方案的独创性在于通过无信号启发式推导出功率惩罚。我们已经分析了所提出的算法，通过广泛的数值模拟，并比较它们与国家的最先进的方法。结果表明，我们的算法优于后者。
The target of this paper is to propose a practical low-complexity power allocation algorithm that strikes a good balance between Spectral Efficiency (SE) and power saving for the downlink of interference-limited cellular networks. Because abundant interference usually results from dense frequency reuse and high power transmission, power optimization schemes are critical to interference management in wireless systems. Powerful power optimization schemes can be efficiently implemented in the framework of Self-Organizing Network (SON). In this context, we resort to non-cooperative game theory to devise two distributed power allocation schemes. By only considering SE, our first Power Control Game (PCG) algorithm, deemed SE-PCG, provides high SE but push autonomous eNBs into consuming all available power. To address this shortcoming and enhance Energy Efficiency (EE), we put forward another PCG algorithm, deemed EE-PCG, which inflicts a penalty on power consumption. The originality of our scheme lies in deriving the power penalty through a signaling-free heuristic. We have analyzed the proposed algorithms through extensive numerical simulations and compared them with the state-of-the-art approaches. The results have shown that our algorithms outperform the latter.