具有多时滞的无线通信网络功率和速率控制
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摘要
现有的无线通信网络功率和速率控制方法没有考虑系统中存在的多时滞情况,为此,针对具有多时滞的无线通信网络进行建模及功率和速率控制方法的研究.首先,根据无线通信网络功率和速率控制的物理机制,建立新的具有多时滞的无线通信网络功率和速率控制系统的数学模型.该模型包含速率控制中的时滞、功率控制中的时滞、状态时滞和输入时滞.在此基础上,通过预测控制和线性矩阵不等式设计鲁棒功率和速率控制器.仿真结果验证了所设计的功率和速率控制器的有效性.
Multiple time delays are not considered in exiting power and rate control methods for wireless communication networks. In order to deal with the multiple time delays, a robust power and rate control algorithm is presented. Firstly,based on the modelling and dynamics analysis of the power and rate control system, a new mathematical model is established for the power and rate control system with multiple time delays. The model contains time delays which are not only in rate control but also in power control and not only in system state but also in control input. Based on this model, a robust power and rate controller is designed by using predictive control approach and linear matrix inequality.Simulation results verify the effectiveness of the proposed controller.
Multiple time delays are not considered in exiting power and rate control methods for wireless communication networks. In order to deal with the multiple time delays, a robust power and rate control algorithm is presented. Firstly,based on the modelling and dynamics analysis of the power and rate control system, a new mathematical model is established for the power and rate control system with multiple time delays. The model contains time delays which are not only in rate control but also in power control and not only in system state but also in control input. Based on this model, a robust power and rate controller is designed by using predictive control approach and linear matrix inequality.Simulation results verify the effectiveness of the proposed controller.
引文
[1]Subramanian A,Sayed A H.A robust power and rate control method for state-delayed wireless networks[J].Automatica,2005,41(11):1917-1924.
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[3]Kong S L,Zhang H S,Zhang Z S,et al.Joint predictive control of power and rate for wireless networks[J].Acta Automatica Sinica,2007,33(7):761-764.
[4]Zhao L,Mark J W.Joint rate and power adaptation for radio resource management in uplink wideband code division multiple access systems[J].IET Communications,2008,2(4):562-572.
[5]Chen Y L,Lin Y S,Wang J W,et al.Adaptive fuzzy-based rate management and power control in multimedia CDMA cellular systems[J].Computer Communications,2008,31(10):1901-1910.
[6]Moller A,Jonsson U T.Stability of rate and power control algorithms in wireless cellular networks[C].IEEE Conf on Decision and Control and European Control Conf.Orlando:IEEE,2011:4535-4541.
[7]Ahmad A,Hassan N U,Assaad M,et al.Joint power control and rate adaptation for video streaming in wireless networks with time-varying interference[J].IEEE Trans on Vehicular Technology,2016,65(8):6315-6329.
[8]Han C,Sun D,Li X,et al.Robust H∞power and rate control for uncertain wireless networks with time-varying state and input delays[C].Proc of the 19th IFAC World Congress.Cape Town,2014:9721-9726.
[9]Han C W,Sun D,Bi S,et al.Modeling and model predictive power and rate control of wireless communication networks[J].J of Applied Mathematics,2014,DOI:10.1155/2014/642673.
[10]Xie L H.Output feedback H∞control of systems with parameter uncertainty[J].Int J of Control,1996,63:741-750.
[11]Ma X J,Xiang S H,Xu B G,et al.H∞robust stability for uncertain systems with multiple time-varying delays and nonlinear perturbations[J].Control Theory and Applications,2006,23(4):631-635.
[12]Lee S M,Park J H,Ji D H,et al.Robust model predictive control for LPV systems using relaxation matrices[J].IET Control Theory Applications,2007,1(6):1567-1573.
[13]俞立.鲁棒控制—–线性矩阵不等式处理方法[M].北京:清华大学出版社,2002:250-251.(Yu L.Robust control—Linear matrix inequality approach[M].Beijing:Tsinghua University Publishing House,2002:250-251.)
[14]Zhang H,Pathirana P N.Uplink power control via adaptive hidden Markov model based channel estimation[J].IEEE Trans Mobile Computing,2013,12(4):657-665.
[2]Subramanian A,Sayed A H.Joint rate and power control algorithms for wireless networks[J].IEEE Trans on Signal Processing,2005,53(1):4204-4214.
[3]Kong S L,Zhang H S,Zhang Z S,et al.Joint predictive control of power and rate for wireless networks[J].Acta Automatica Sinica,2007,33(7):761-764.
[4]Zhao L,Mark J W.Joint rate and power adaptation for radio resource management in uplink wideband code division multiple access systems[J].IET Communications,2008,2(4):562-572.
[5]Chen Y L,Lin Y S,Wang J W,et al.Adaptive fuzzy-based rate management and power control in multimedia CDMA cellular systems[J].Computer Communications,2008,31(10):1901-1910.
[6]Moller A,Jonsson U T.Stability of rate and power control algorithms in wireless cellular networks[C].IEEE Conf on Decision and Control and European Control Conf.Orlando:IEEE,2011:4535-4541.
[7]Ahmad A,Hassan N U,Assaad M,et al.Joint power control and rate adaptation for video streaming in wireless networks with time-varying interference[J].IEEE Trans on Vehicular Technology,2016,65(8):6315-6329.
[8]Han C,Sun D,Li X,et al.Robust H∞power and rate control for uncertain wireless networks with time-varying state and input delays[C].Proc of the 19th IFAC World Congress.Cape Town,2014:9721-9726.
[9]Han C W,Sun D,Bi S,et al.Modeling and model predictive power and rate control of wireless communication networks[J].J of Applied Mathematics,2014,DOI:10.1155/2014/642673.
[10]Xie L H.Output feedback H∞control of systems with parameter uncertainty[J].Int J of Control,1996,63:741-750.
[11]Ma X J,Xiang S H,Xu B G,et al.H∞robust stability for uncertain systems with multiple time-varying delays and nonlinear perturbations[J].Control Theory and Applications,2006,23(4):631-635.
[12]Lee S M,Park J H,Ji D H,et al.Robust model predictive control for LPV systems using relaxation matrices[J].IET Control Theory Applications,2007,1(6):1567-1573.
[13]俞立.鲁棒控制—–线性矩阵不等式处理方法[M].北京:清华大学出版社,2002:250-251.(Yu L.Robust control—Linear matrix inequality approach[M].Beijing:Tsinghua University Publishing House,2002:250-251.)
[14]Zhang H,Pathirana P N.Uplink power control via adaptive hidden Markov model based channel estimation[J].IEEE Trans Mobile Computing,2013,12(4):657-665.