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Approach for power allocation in two-tier femtocell networks based on robust non-cooperative game

机译:基于鲁棒非合作博弈的两层毫微微小区网络功率分配方法

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摘要

In this study, a power allocation scheme for two-tier femtocell networks is proposed to maximise the user utilities constrained with satisfactory quality of service, where femtocell users share the same frequency with macrocell users (MUEs). Since the environment changes and the channel gains cannot be assumed to be constants, a worst-case method is used to address the uncertainty of the power allocation problem. A non-cooperative game model is developed to maximise the utilities of femtocell users by letting the users competing the utilities with others. As the robustness can be affected by the changing gains of communication links, the robust Stackelberg game is proposed to model this hierarchical competition where the MUEs and femtocell users act as leaders and followers, respectively. Two effective pricing schemes are applied to maximise the utilities, when different user demands are required, where the uniqueness of Nash equilibrium is proved in the two schemes. Numerical results show the convergence of the Stackelberg game with uncertainty and also the results demonstrate the effectiveness of the power allocation algorithm.
机译:在这项研究中,提出了一种用于两层毫微微小区网络的功率分配方案,以最大化受限于令人满意的服务质量的用户效用,其中毫微微小区用户与宏小区用户(MUE)共享相同的频率。由于环境变化并且不能假定信道增益为常数,因此使用最坏情况方法来解决功率分配问题的不确定性。开发了一种非合作游戏模型,通过让用户与其他人竞争实用程序来最大化飞蜂窝用户的实用程序。由于健壮性可能受到通信链路增益变化的影响,因此提出了健壮的Stackelberg游戏,以对这种分层竞争进行建模,其中MUE和毫微微小区用户分别充当领导者和追随者。当需要不同的用户需求时,采用两种有效的定价方案来最大化效用,其中两种方案证明了纳什均衡的唯一性。数值结果表明了具有不确定性的Stackelberg博弈的收敛性,并且结果证明了功率分配算法的有效性。

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