Energy-Efficient Noncooperative Power Control in Small-Cell Networks
Energy-Efficient Noncooperative Power Control in Small-Cell Networks
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DOI：
10.1109/tvt.2017.2673245
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发表时间：
2017-08-01
影响因子：
6.8
通讯作者：
You, Xiaohu
中科院分区：
文献类型：
--
作者：
Jiang, Yanxiang;Lu, Ningning;You, Xiaohu
本文研究了基于宏蜂窝网络的小小区节能功率控制问题。将自组织小蜂窝网络中的功率控制问题描述为一个非合作博弈问题，提出了一种分布式能量有效的功率控制方案，允许小基站以最少的信息交换达到纳什均衡。特别地，在非合作功率控制博弈中，为了最大化每个SBS的能量效率(EE)，建立了一个非凸优化问题。利用无参数分式规划的性质和透视函数的概念，将每个SBS的非凸优化问题转化为等价的约束凸优化问题。然后，利用混合罚函数法将约束凸优化问题转化为无约束凸优化问题。通过引入对数障碍函数消除了不等式约束，通过引入二次罚函数消除了等式约束。从理论上证明了非合作功率控制博弈中网元的存在唯一性。仿真结果表明，该方案能显著提高系统的误码率。
In this paper, energy-efficient power control for small cells underlaying a macrocellular network is investigated. We formulate the power control problem in self-organizing small-cell networks as a noncooperative game and propose a distributed energy-efficient power control scheme, which allows the small base stations (SBSs) to take individual decisions for attaining the Nash equilibrium (NE) with minimum information exchange. In particular, in the noncooperative power control game, a nonconvex optimization problem is formulated for each SBS to maximize their energy efficiency (EE). By exploiting the properties of parameter-free fractional programming and the concept of perspective function, the nonconvex optimization problem for each SBS is transformed into an equivalent constrained convex optimization problem. Then, the constrained convex optimization problem is converted into an unconstrained convex optimization problem by exploiting the mixed penalty function method. The inequality constraints are eliminated by introducing the logarithmic barrier functions, and the equality constraint is eliminated by introducing the quadratic penalty function. We also theoretically show the existence and the uniqueness of the NE in the noncooperative power control game. Simulation results show remarkable improvements in terms of EE by using the proposed scheme.