重叠虚拟小区基于分级结构的联合功率控制算法
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摘要
针对下一代无线通信系统(5G)超密网络场景面临复杂的干扰问题,采用联合功率控制和以用户为中心的虚拟小区结构,而联合功率控制由于非凸问题会导致高复杂度问题,以及重叠虚拟小区基站功率强耦合问题,故提出以用户为中心的虚拟小区基站基于分层的联合功率控制算法。算法首先利用新提出的虚拟功率概念解耦重叠虚拟小区基站功率,其次上层求解功率分割系数,下层通过迭代注水算法得到虚拟功控最优解。仿真比较结果表明,提出的算法可以提高系统吞吐量,获得更大的系统速率。
The ultra-dense network of the next generation wireless communication system(5G)is faced with the complex interference. Therefore,the joint power control and user-centered virtual cell structure are adopted. Since the joint power control has high complexity caused by the nonconvex problem,and the base station of overlapped virtual cell has strong power coupling,the hierarchical structure based joint power control algorithm for user-centered virtual cell base station is proposed.The base station power of the overlapped virtual cell is decoupled according to the proposed virtual power concept. The power allocation coefficient is resolved in the upper layer of the structure. The optimal solution of the virtual power control is obtained in the lower layer of the structure by means of water-filling algorithm. The simulation results show that the proposed algorithm can improve the system throughput,and obtain the fast system speed.
The ultra-dense network of the next generation wireless communication system(5G)is faced with the complex interference. Therefore,the joint power control and user-centered virtual cell structure are adopted. Since the joint power control has high complexity caused by the nonconvex problem,and the base station of overlapped virtual cell has strong power coupling,the hierarchical structure based joint power control algorithm for user-centered virtual cell base station is proposed.The base station power of the overlapped virtual cell is decoupled according to the proposed virtual power concept. The power allocation coefficient is resolved in the upper layer of the structure. The optimal solution of the virtual power control is obtained in the lower layer of the structure by means of water-filling algorithm. The simulation results show that the proposed algorithm can improve the system throughput,and obtain the fast system speed.
引文
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[12]China Mobile Research Institute.C-RAN:the road towards green RAN[R].Beijing:China Mobile Research Institute,2011.
[2]TERNON E,AGYAPONG P K,DEKORSY A.Performance evaluation of macro-assisted small cell energy savings schemes[J].Journal on wireless communications and networking,2015(1):209.
[3]RALEIGH G G,CIOFFI J M.Spatio-temporal coding for wireless communication[J].IEEE transactions on communications,1998,46(3):357-366.
[4]GALLAGER R G.Information theory and reliable communication[M].New York:Wiley,1968.
[5]SCAGLIONE A,STOICA P,BARBAROSSA S,et al.Optimal designs for space-time linear precoders and decoders[J].IEEEtransactions on signal processing,2002,50(5):1051-1064.
[6]PALOMAR D P,CIOFFI J M,LAGUNAS M A.Joint Tx-Rx beamforming design for multicarrier MIMO channels:a unified framework for convex optimization[J].IEEE transactions on signal processing,2003,51(9):2381-2401.
[7]蒋留兵,杨昌昱,李卓伟,等.OFDM和MIMO系统中的快速注水功率分配算法[J].电视技术,2014,38(15):178-202.JIANG Liubing,YANG Changyu,LI Zhuowei,et al.Fast water injection power allocation algorithm in OFDM and MIMO systems[J].Video engineering,2014,38(15):178-202.
[8]JANG J,LEE K B,LEE Y H.Transmit power and bit allocations for OFDM systems in a fading channel[C]//2003 IEEEGlobal Telecommunications Conference.San Francisco:IEEE,2003:858-862.
[9]PENG T,WANG W,LU Q,et al.Subcarrier allocation based on water-filling level in OFDMA-based cognitive radio networks[C]//2007 IEEE International Conference on Wireless Communications,Networking and Mobile Computing.Shanghai:IEEE,2007:196-199.
[10]ZHANG H,YANG Z,LIU Y,et al.Power control for 5G usercentric network:performance analysis and design insight[J].IEEE access,2016,4:7347-7355.
[11]GAO Yuehong,CHENG Lei,ZHANG Xin,et al.Enhanced power allocation scheme in ultra-dense small cell network[J].China communications,2016,13(2):21-29.
[12]China Mobile Research Institute.C-RAN:the road towards green RAN[R].Beijing:China Mobile Research Institute,2011.