Optimal Policies Based on QoS for Adaptive Communication Systems with Markov Decision Process
Modern communications, especially mobile communications, face unpredictable environments. Adaptation to unpredictable environments is necessary for modern communications. The communication systems self-tuning to track changes in the environments are called the adaptive communication systems. The systems can be viewed as a special kind of feedback control systems with the elements of sensor, decision-element or controller, and actuator. This paper focuses the decision-element. The decision-element uses optimal policies based on QoS with Markov Decision Process, which seek to satisfy a set of system QoS. The simulation results show that communication system adaptation can be guided by decision rules based on QoS found by the methods of Markov Decision Processes, when there are multiple controlled features, and multiple system measures used to drive the decisions.
Optimal Policies QoS Adaptation Markov Decision Process
Qianshu Li
Institute of New Technology, Guizhou Academy of Sciences, Guiyang 550001
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1850-1854
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）