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机会式频谱接入问题基于事件的优化方法 被引量：1

Event-based optimization approach to opportunistic spectrum access problem
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摘要 研究机会式频谱接入技术中次用户对可利用频谱进行探测和接入策略的优化问题.通过引入事件的概念,将含有可数无限状态的原问题转化为包含有限个事件的决策问题.从性能灵敏度的角度出发,分析不同策略下平均传输率的差异,给出了基于事件策略的性能差分公式.以此为基础,通过合理的近似,设计了基于事件的策略迭代算法.仿真示例验证了所提出算法的有效性和近似处理的合理性. The sense and access optimization problem in opportunistic spectrum access technology is considered. By introducing the concept of event, the original problem with countably infinite states is converted to an event-based decision problem with finite events. From a sensitivity-based view, the performance differences between two event-based policies are investigated. Based on the event-based performance difference formula, with the appropriate approximation, the sample-path based policy iteration algorithm is developed. An example is provided to illustrate the effectiveness and reasonableness of the proposed algorithm.
作者 黄永皓 陈曦
机构地区 清华大学智能技术与系统国家重点实验室 清华大学智能与网络化系统研究中心
出处 《控制与决策》 EI CSCD 北大核心 2013年第11期1643-1649,共7页 Control and Decision
基金 国家自然科学基金项目(61203039) 高等学校学科创新引智计划(B06002) 华信息科学与技术国家实验室(筹)
关键词 机会式频谱接入 马尔可夫决策过程 基于事件的优化 灵敏度分析 策略迭代 opportunistic spectrum access Markov decision process event-based optimization sensitivity-based approach policy iteration
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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参考文献10

  • 1Zhao Q, Sadler B M. A survey of dynamic spectrum access[J]. IEEE Signal Processing Magazine, 2007, 24(3): 79-89.
  • 2Zhao Q, Tong L, Swami A, et al. Decentralized cognitive MAC for opportunistic spectrum access in ad hoe networks: A POMDP framework[C]. Proc of 1st IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore: IEEE Press, 2005: 589-600.
  • 3Zhao Q, Krishnamachari B, Liu K Q. Low-complexity approaches to spectrum opportunity tracking[C]. Proc of2nd Int Conf Cognitive Radio Oriented Wireless Networks and Communications. Orlando: IEEE Press, 2007: 27-35.
  • 4Zhao Q, Krishnamachari B, Liu K Q. On myopic sensing for multi-channel opportunistic access: Structure, optimality and performance[J]. IEEE Trans on Wireless Communications, 2008, 7(12): 5431-5440.
  • 5Ahmad S H, Liu M, Javidi T, et al. Optimality of myopic sensing in multi-channel opportunistic access[J]. IEEE Trans on Information Theory, 2009, 55(9): 4040-4050.
  • 6Zhao Q, Geirhofer S, Tong L, et al. Opportunistic spectrum access via periodic channel sensing[J]. IEEE Trans on Signal Processing, 2008, 56(2): 785-796.
  • 7黄永皓,陈曦.机会式频谱接入优化问题的研究[J].控制与决策,2010,25(6):857-861. 被引量：1
  • 8Cao X R. Basic ideas for event-based optimization of Markov systems[J]. Discrete Event Dynamic Systems, 2005, 15(2): 169-197.
  • 9Cao X R. Stochastic learning and optimization: A sensitivity-based approach[M]. New York: Springer, 2007: 387-446.
  • 10Sutton R S, Barto A G. Reinforcement learning: An introduction[M]. Cambridge: The MIT Press, 1998: 122.

二级参考文献10

  • 1Zhao Q, Sadler B M. A survey of dynamic spectrum access[J]. IEEE Signal Processing Magazine, 2007, 24(3): 79-89.
  • 2Zhao Q, Tong L, Swami A, et al. Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework[C]. Proc of 1st IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore: IEEE Press, 2005: 589-600.
  • 3Zhao Q, Krishnamachari B, Liu K Q. Low-complexity approaches to spectrum opportunity tracking[C]. Proc of 2nd Int Conf on Cognitive Radio Oriented Wireless Networks and Communications. Orlando: IEEE Press, 2007: 27-35.
  • 4Zhao Q, Krishnamachari.B. Structure and optimality of myopic sensing for opportunistic spectrum access[C]. Proc of IEEE Int Conf on Communications 2007. Glasgow: IEEE Press, 2007: 6476-6481.
  • 5Zhao Q, Krishnamachari B, Liu K Q. On myopic sensing for multi-channel opportunistic access: Structure, optimality, and performance[J]. IEEE Trans on Wireless Communications, 2008, 7(12): 5431-5440.
  • 6Javidi T, Krishnamachari B, Zhao Q, et al. Optimality of myopic sensing in multi-channel opportunistic access[C]. Proc of IEEE int Conf on Communications 2008. Beijing: IEEE Press, 2008: 2107-2112.
  • 7Zhao Q, Geirhofer S, Tong L, et al. Opportunistic spectrum access via periodic channel sensing[J]. IEEE Trans on Signal Processing, 2008, 56(2): 785-796.
  • 8Cao X R, Guo X P. Partially observable Markov decision processes with reward information: Basic ideas and models[J]. IEEE Trans on Automatic Control, 2007, 52(4):677-681.
  • 9Cao X R. Stochastic learning and optimization: A sensitivity-based approach[M]. New York: Springer, 2007.
  • 10Sutton R S, Barto A G. Reinforcement learning: An introduction[M]. Cambridge: The MIT Press, 1998.

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控制与决策
2013年 第11期

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