基于部分可观察马尔可夫决策过程的受控无线网络系统动态资源分配
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摘要
研究了受控无线网络的动态资源分配。针对传统无线通信传输模型的局限性随着无线通信系统架构的发展日益凸显的问题,提出了一种引入反馈控制策略的受控无线网络模型。该模型结合部分可观察马尔可夫决策过程(POMDP),将用户接收功率与数据传输误码率作为反馈观测对象,对通信小区内基站天线开启数与用户接入数进行动态资源最优匹配。仿真结果表明,这种方法能够有效提升系统传输能效性与可靠性,降低传输误码率,改善系统资源动态匹配控制性能。
The dynamic resource allocation in controlled wireless networks was studied. To solve the problem that with the rapid development of wireless communication systems,the limitations of the traditional wireless communication transmission model are becoming increasingly evident,a controlled wireless network model using the feedback control strategy was proposed. The model combines the partially observable Markov decision process( POMDP),and sets the receiving power of users and the bit error rate( BER) of data transmission as the observation targets in the feedback strategy. The antennas that work on the base station and the users which connect the base station can be dynamic optimal matching each other. The simulation results show that the proposed algorithm can improve the energy efficiency and the reliability of the system,and reduce the BER,so that the dynamic matching performance of system resources can be improved effectively.
The dynamic resource allocation in controlled wireless networks was studied. To solve the problem that with the rapid development of wireless communication systems,the limitations of the traditional wireless communication transmission model are becoming increasingly evident,a controlled wireless network model using the feedback control strategy was proposed. The model combines the partially observable Markov decision process( POMDP),and sets the receiving power of users and the bit error rate( BER) of data transmission as the observation targets in the feedback strategy. The antennas that work on the base station and the users which connect the base station can be dynamic optimal matching each other. The simulation results show that the proposed algorithm can improve the energy efficiency and the reliability of the system,and reduce the BER,so that the dynamic matching performance of system resources can be improved effectively.
引文
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[18]Si P,Yue H,Zhang Y,et al.Spectrum management for proactive video caching in information-centric cognitive radio networks.IEEE Journal on Selected Areas in Communications,2016,34(8):2247-2259
[19]Luo C,Min G,Yu F R,et al.Joint relay scheduling,channel access,and power allocation for green cognitive radio communications.IEEE Journal on Selected Areas in Communications,2015,33(5):922-932
[20]Zhu L,Yu F R,Ning B,et al.Handoff performance improvements in MIMO-enabled communication-based train control systems.IEEE Transactions on Intelligent Transportation Systems,2012,13(2):582–593
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[2]Kreutz D,Ramos F M V,Verissimo P E,et al.Softwaredefined networking:a comprehensive survey.Proceedings of the IEEE,2015,103(1):14-76
[3]Ozbek B,Ruyet D L.Feedback Strategies for Wireless Communication.Springer Press,2014.1-332
[4]Platonov A.Capacity and power-bandwidth efficiency of wireless adaptive feedback communication systems.IEEE Communications Letters,2012,16(5):573-576
[5]Li T,Smida B.Optimization of limited feedback in twoway communication.In:Proceedings of the IEEE International Conference on Communications(ICC),Sydney,Australia,2014.2070-2074
[6]Di Benedetto M D,D'Innocenzo A,Rinaldi C,et al.Modeling and design of control algorithms over wireless networks.In:Proceedings of the IEEE International Conference on Control Applications(CCA),Singapore,2007.1018-1023
[7]Park P,Araujo J,Johansson K H.Wireless networked control system co-design.In:Proceedings of the IEEE International Conference on Networking,Sensing and Control(ICNSC),Delft,Netherlands,2011.486-491
[8]Kumar K,Tripathi R,Tiwari S.Critical data real-time routing in industrial wireless sensor networks.IET Wireless Sensor Systems,2016,6(4):144-150
[9]Eswaran K,Gastpar M.Feedback communication and control over a single channel.IEEE Transactions on Information Theory,2013,59(10):6243-6257
[10]Cui Q,Wang H,Hu P,et al.Evolution of limited-feedback Co MP systems from 4G to 5G:Co MP features and limited-feedback approaches.IEEE Vehicular Technology Magazine,2014,9(3):94-103
[11]He X,Yener A.The role of feedback in two-way secure communications.IEEE Transactions on Information Theory,2013,59(12):8115-8130
[12]Mahapatra R,Nijsure Y,Kaddoum G,et al.Energy efficiency tradeoff mechanism towards wireless green communication:A survey.IEEE Communications Surveys&Tutorials,2016,18(1):686-705
[13]Chen L,Yu F R,Ji H,et al.Distributed virtual resource allocation in small cell networks with full duplex selfbackhauls and virtualization.IEEE Transactions on Vehicular Technology,2016,65(7):5410-5423
[14]Chen Y S,Cho C H,You I,et.al.A cross-layer protocol of spectrum mobility and handover in cognitive LTE networks.Simulation Modelling Practice and Theory,2010,19(8):1723-1744
[15]Li M,Sun E C,Yu F R,et al.A cooperative user selection scheme based on energy efficiency and interference factor in cooperative communication systems.High Technology Letters,2016,22(2):183-191
[16]Sarkar S,Das N R.On the optimum detection threshold for minimum bit error rate due to four-wave mixing in a WDM system.IEEE/OSA Journal of Optical Communications and Networking,2013,5(4):370-377
[17]Love D J.An overview of limited feedback in wireless communication systems.IEEE Journal on Selected Areas in Communications,2008,26(8):1341-1365
[18]Si P,Yue H,Zhang Y,et al.Spectrum management for proactive video caching in information-centric cognitive radio networks.IEEE Journal on Selected Areas in Communications,2016,34(8):2247-2259
[19]Luo C,Min G,Yu F R,et al.Joint relay scheduling,channel access,and power allocation for green cognitive radio communications.IEEE Journal on Selected Areas in Communications,2015,33(5):922-932
[20]Zhu L,Yu F R,Ning B,et al.Handoff performance improvements in MIMO-enabled communication-based train control systems.IEEE Transactions on Intelligent Transportation Systems,2012,13(2):582–593
[21]Si P,Yu F R,Wang H,et al.Optimal transmission behaviour policies of secondary users in proactive-optimization cognitive radio networks.China Communications,2013,10(8):1-17
[22]Schuh R,Lunze J.Stability analysis of networked systems with similar dynamics.In:Proceedings of the IEEE European Control Conference(ECC),Zurich,Switzerland,2013.4359-4364