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Joint Customized Price and Power Control for Energy-Efficient Multi-Service Wireless Networks via S-Modular Theory

机译:节能的多服务无线网络通过S模块化联合定制价格和功率控制

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In this paper, the problem of joint utility-based customized price and power control in multi-service wireless networks is addressed via S-modular theory. Each user is associated with a generic two-variable net utility function. The latter takes a different form based on the type of the requested service, and depends on both user's uplink transmission power and the price he is willing to pay to achieve his quality of service prerequisites. The joint customized price and power control problem is formulated as a two-variable optimization problem and confronted as a non-cooperative distributed game. The S-modular theory is adopted to solve the corresponding optimization problem. The existence of the game's Nash equilibrium point with respect to both user's uplink transmission power and price is analytically shown, while game convergence is also proven. A distributed and iterative algorithm for computing the two-variable Nash equilibrium point is also presented. The optimal price and uplink transmission power are both determined simultaneously in a distributed manner while the control intelligence and the decision making process lie at the user. 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 especially in terms of energy efficiency.
机译:本文通过S模块化理论解决了多业务无线网络中基于公用事业的联合定制价格和功率控制问题。每个用户都与一个通用的两变量净实用函数相关联。后者根据请求的服务的类型采用不同的形式,并且取决于用户的上行链路传输功率和用户为实现其服务质量先决条件而愿意支付的价格。联合定制的价格和电力控制问题被表述为两个变量的优化问题,并且面对的是非合作的分布式博弈。采用S模理论来解决相应的优化问题。从用户的上行传输功率和价格两方面分析了游戏的纳什均衡点的存在,同时也证明了游戏的收敛性。还提出了一种用于计算二变量Nash平衡点的分布式迭代算法。最优价格和上行链路传输功率都以分布式方式同时确定,而控制智能和决策过程则由用户决定。通过建模和仿真评估了所提出方法的性能,特别是在能源效率方面,说明了其与其他现有方法相比的优越性。

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