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Supermodular Game-Based Distributed Joint Uplink Power and Rate Allocation in Two-Tier Femtocell Networks

机译:两层毫微微小区网络中基于超模块化游戏的分布式联合上行链路功率和速率分配

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This paper tackles the problem of joint users’ uplink transmission power and data rate allocation in multi-service two-tier femtocell networks. Each user—either macrocell (MUE) or femtocell user equipment (FUE)—is associated with a two-variable utility function that represents his perceived satisfaction with respect to his allocated resources (i.e., power and rate). User's utility function is differentiated based both on the tier that the user belongs to and the service he requests. The joint resource allocation problem is directly confronted as a two-variable optimization problem and formulated as a non-cooperative game. The theory of supermodular games is utilized towards treating the two-variable optimization problem and the inherent multidimensional competition that arises among the users. The existence of proposed game's Nash Equilibrium (NE) point is analytically shown, while game's convergence to its NE point is proven. A distributed and iterative algorithm for computing the desired NE is introduced, where the optimal values of each user's uplink transmission power and data rate are simultaneously updated at the same step. The performance of the proposed approach is evaluated via modeling and simulation and its superiority compared to other state of the art approaches is illustrated.
机译:本文解决了多业务两层毫微微小区网络中联合用户的上行传输功率和数据速率分配问题。每个用户(宏小区(MUE)或毫微微小区用户设备(FUE))都与一个两变量效用函数相关联,该函数代表他对分配的资源(即功率和费率)的感知满意度。根据用户所属的层和他所请求的服务,区分用户的效用功能。联合资源分配问题直接面对一个两变量优化问题,并表述为一个非合作博弈。利用超模块化博弈论来处理二元优化问题和用户之间固有的多维竞争。分析地显示了拟议游戏的Nash平衡点(NE)的存在,同时证明了游戏收敛到其NE点的能力。介绍了一种用于计算所需NE的分布式迭代算法,其中在同一步骤同时更新每个用户的上行链路传输功率和数据速率的最佳值。通过建模和仿真评估了所提出方法的性能,并说明了其与其他现有方法相比的优越性。

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