协作中继系统多目标联合的跨层资源分配

Multi-objective Optimization of Cross-Layer Resource Allocation in Cooperative Relay Systems

研究了机会协作中继系统中可靠性、有效容量和功率消耗的联合优化问题.分析了机会协作中继系统的可靠性、有效容量和功率消耗公式,分别提出两个优化模型:联合系统可靠性和有效容量的网络效用最大化模型,以及最小化系统总功率消耗优化模型.为了在可靠性、有效容量、功率消耗之间寻求平衡,提出一种以提升网络效用与降低网络功耗为目标的联合优化模型.通过拉格朗日对偶分解法设计联合优化模型的分布式求解算法,改变权衡因子α以获得系统可靠性和有效容量之间的平衡.通过改变联合优化目标中的权衡因子ω获取网络效用与功耗之间的平衡点.仿真结果验证了该分布式算法可有效取得协作中继系统的可靠性、有效容量、功率消耗三者之间的平衡.

Joining optimization in reliability,transmission rate and power consumption in the cooperative relay networks is addressed in the paper.Formulas of reliability,transmission rate and power consumption are analyzed,and two optimization models proposed：maximization of network utility model depending on reliability and transmission rate,and minimization of power consumption.To implement compromise among reliability,transmission rate and power consumption,a cross-layer optimization model is proposed to combine network utility and power consumption.With the Lagrangian decomposition method,a distributed algorithm is developed to solve the joining optimization problem.The algorithm can achieve tradeoff between reliability and transmission rate by changing a factorα.Further adjustment of the tradeoff factor in the joining optimization model leads to a tradeoff between network utility and power consumption.Simulation results show that the proposed algorithm is effective to achieve a tradeoff among reliability,transmission rate and power consumption.