摘要
针对复杂应用环境中无线接入网负载高波动的特点,提出一种多路载频动态开启的系统级功耗控制策略,在满足多类业务QoS的同时,降低系统基站的能耗.构建基于连续时间Markov控制过程的系统分析模型,将动态载频开启节能控制转化为一个带约束的优化问题.结合性能势估计与随机逼近,提出一种基于策略迭代的在线自适应策略优化算法.仿真实验结果验证了方法的有效性.
A system-level dynamic power management(DPM) strategy is presented to conserve energy of base stations in wireless access networks.It dynamically changes the operation state of multiple frequency carriers with the fluctuation of workloads to guarantee the QoS with minimum power consumption.First,an event-driven continuous-time Markov control processes model is introduced to formulate the DPM problem as a constrained optimization problem.Then,a policy iteration based reinforcement learning algorithm that combines potentials estimation and stochastic approximation is proposed for optimizing the DPM policy online.Simulation results demonstrate the effectiveness of the presented approach.
基金
国家自然科学基金(61074033)
教育部博士学科点专项基金(20093402110019)
安徽省自然科学基金(11040606M142)资助
关键词
动态功耗控制
QOS保证
无线接入网
策略优化
动态载频开启
dynamic power management
QoS guarantee
wireless access networks
policy optimization
dynamic frequency carriers on/off