Efficient power control in heterogeneous Femto-Macro cell networks
Efficient power control in heterogeneous Femto-Macro cell networks
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DOI：
10.1109/wcnc.2013.6555254
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发表时间：
2013-04
期刊：
影响因子：
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通讯作者：
Y. Ma;Tiejun Lv;Yueming Lu
中科院分区：
文献类型：
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作者：
Y. Ma;Tiejun Lv;Yueming Lu
本文分析了两层femtocell网络中基于博弈论的非合作功率控制算法，发现纳什均衡（NE）下的博弈结果是低效的。也就是说，仍有很多用户无法在NE点达到目标信号干扰加噪声比(SINR)，尤其是毫微微蜂窝用户设备(FUE)。因此，我们在异构毫微微宏小区网络中提出了一种新颖的功率控制方案，该方案可以保证宏小区用户（MUE）的目标SINR，并使尽可能多的FUE达到其目标SINR。所提出的功率控制算法引入了传统非合作功率控制博弈中的用户选择和信道重新分配。此外，为了进一步优化所提出的方案，我们提出了一种新颖的基于FUE-SINR的MUE链路质量保护算法。该方案能够提高纳什均衡的效率，即确保更多的用户达到目标 SINR。数值模拟验证了结论。
In this paper, we analyze the non-cooperative power control algorithm based on game theory in the two-tier femtocell networks, and find that the outcome of the game in a Nash equilibrium (NE) is inefficient. That is to say, there are still many users that can not achieve the target Signal-to-Interference-Plus-Noise Ratio (SINR) at the NE point, especially femtocell user equipments (FUE). Therefore, we propose a novel power control scheme in heterogeneous Femto-Macro cell networks, which can guarantee the target SINR of the macrocell user (MUEs), and make as many as possible FUEs to achieve their target SINRs. The proposed power control algorithm introduces the user selection and channel re-allocation in the conventional noncooperative power control game. In addition, to further optimize the proposed scheme, we propose a novel FUE-SINR based MUE link quality protection algorithm. The propose scheme is able to improve the efficiency of Nash equilibrium, i.e., ensure more users to attain the target SINRs. Numerical simulations verify the conclusions.