一种博弈的异构网上行功率控制算法
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摘要
异构组网是未来移动通信系统的典型网络结构,上行功率分配算法又是异构网络中干扰管理的一项重要技术。将博弈论和异构网上行功率分配算法相结合,提出了一种博弈的异构网上行控制算法。该算法把价格支付函数运用到上行功率控制算法中,在异构网中任何用户的功率提升都要考虑对网络内的其它同频用户带来的干扰,并以此作为基于价格的支付函数,通过循环多次迭代使得用户功率提升对整个网络的干扰最小化。通过对现有功率控制算法的优化,提升了网络的性能。结果表明:基于博弈的异构网上行功率分配算法能够在系统上行吞吐量、能效比方面带来增益和性能的提升。
Heterogeneous network(Het Net) is a typical network structure of the future mobile communication system.And the uplink power control algorithm is of an important technology in the interference management of Het Net.Combining the game theory and the uplink power control algorithm of Het Net,a new uplink power control algorithm of game theory in Het Net is proposed in this paper.The new algorithm applies the price payment function of game theory to the uplink power and power allocation algorithm.In Het Net,any user's power change should consider the generating interference to the other cofrequency users located in the network and use it as a price-based payment function to control the user uplink power.After multiple iterations,the optimal users' uplink power can be obtained which results in the improvement of network performance.Simulation results show that the proposed algorithm can bring the performance gains of Het Net in both the system uplink throughput and energy efficiency ratio.
Heterogeneous network(Het Net) is a typical network structure of the future mobile communication system.And the uplink power control algorithm is of an important technology in the interference management of Het Net.Combining the game theory and the uplink power control algorithm of Het Net,a new uplink power control algorithm of game theory in Het Net is proposed in this paper.The new algorithm applies the price payment function of game theory to the uplink power and power allocation algorithm.In Het Net,any user's power change should consider the generating interference to the other cofrequency users located in the network and use it as a price-based payment function to control the user uplink power.After multiple iterations,the optimal users' uplink power can be obtained which results in the improvement of network performance.Simulation results show that the proposed algorithm can bring the performance gains of Het Net in both the system uplink throughput and energy efficiency ratio.
引文
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[2]KUCERA S,LOPEZ P D.Inter-cell interference coordination for control channels in LTE ceterogeneous cetworks[J].IEEE/ACM Transactions on Networking,2016,24(5):2872-2884.
[3]KUANG Q,UTSCHICK W,DOTZLER A.Optimal joint user association and multi-pattern resource allocation in heterogeneous networks[J].IEEE Transactions on Signal Processing,2015,64(13):3388-3401.
[4]AMINE M,WALID A,KOBBANE A,et al.A many-tomany matching game in ultra-dense LTE Het Nets[C]∥Wireless Communications and Mobile Computing Conference(IWCMC).Proceedings of IWCMC.2017 13th International.Guilin:IEEE,2017:1245-1250.
[5]CHANDRASEKHAR V,ANDREWS J G,MUHARE-MOVIC T,et al.Power control in two-tier femtocell networks[J].IEEE Trans on Wireless Communication,2009,8(8):4316-4328.
[6]WU Y,ZHANG T Y,TSANG D H K.Joint pricing and power allocation for dynamic spectrum access networks with stackelberg game model[J].IEEE Trans on Wireless Communication,2011,10(1):12-19.
[7]LI J D,YANG C G,LI W Y,et al.Pricing based power control game for cognitive radio networks[C]∥International Conference on Telecommunications(ICT).Proceedings of ICT.ICT'09.Marrakech:IEEE,2009:270-275.
[8]LIU Z X,HAO L L,XIA Y Q,et al.Price bargaining based on the stackelberg game in two-tier orthogonal frequency division multiple access femtocell networks[J].IET Communication,2015,9(1):133-145.
[9]NGO D T,LONG B L,LENGOC T,et al.Distributed interference management in two-tier CDMA Femtocell networks[J].IEEE Trans on Wireless Communication,2012,11(3):979-988.
[10]周雄,冯穗力,丁跃华,等.Femtocell网络中博弈式频率复用算法[J].通信学学报,2015,36(2):141-147.ZHOU X,FENG S L,DING Y H,et al.Game-theoretical frequency reuse algorithm in Femtocell network[J].Journal on Communications,2015,36(2):141-147.
[11]LIU Y,CHEN C S,SUNG C W,et al.A game theoretic distributed algorithm for Fe ICIC optimization in LTE-AHet Nets[J].IEEE/ACM Transactions on Networking,2017,31(3):1-14.
[12]ZHANG H,XIAO Y,CAI L X,et al.A multi-leader multi-follower stackelberg game for resource management in LTE unlicensed[J].IEEE Transactions on Wireless Communications,2017,16(1):348-361.