UDN中基于K-means聚类算法的干扰协调方案
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摘要
针对超密集网络中低功率节点间的干扰问题,提出一种基于K-means聚类算法的时域干扰协调方案。根据节点的分布特点对其进行分类,计算每个类内的节点干扰并求和得到节点所受的总干扰。在此基础上,根据干扰最小化原则进行时域几乎空白子帧分配,以最大化系统局部吞吐量。仿真结果表明,相比基于广义干扰模型的干扰协调方案,该方案结果更精确,网络吞吐量更高。
Aiming at the problem of interference between low power nodes in Ultra-Dense Networks(UDN),a time-domain interference coordination scheme based on K-means clustering algorithm is proposed.According to the distribution characteristics,the nodes are classified,the interference of each class is calculated and the total interference is obtained.On this basis,Almost Blank Subframes(ABS) in time-domain are allocated according to the interference minimization principle to maximize the local throughput of the system.Simulation results show that the proposed scheme is more accurate and has higher network throughput than the interference coordination scheme based on generalized interference model.
Aiming at the problem of interference between low power nodes in Ultra-Dense Networks(UDN),a time-domain interference coordination scheme based on K-means clustering algorithm is proposed.According to the distribution characteristics,the nodes are classified,the interference of each class is calculated and the total interference is obtained.On this basis,Almost Blank Subframes(ABS) in time-domain are allocated according to the interference minimization principle to maximize the local throughput of the system.Simulation results show that the proposed scheme is more accurate and has higher network throughput than the interference coordination scheme based on generalized interference model.
引文
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[2] AN J,YANG K,WU J,et al.Achieve sustainable ultra-dense heterogeneous networks for 5G[J].IEEE Communications Magazine,2017,55(12):84-90.
[3] COSOVIC M,TSITSIMELIS A,VUKOBRATOVIC D,et al.5G mobile cellular networks:enabling distributed state estimation for smart grids[J].IEEE Commu-nications Magazine,2017,55(10):62-69.
[4] 姜来为,沙学军,吴宣利,等.异构网络中几乎空白子帧存在时干扰协调方法[J].哈尔滨工业大学学报,2016,48(11):14-19.
[5] ZHENG J,CAI Y,LU N,et al.Stochastic game-theoretic spectrum access in distributed and dynamic environment[J].IEEE Transactions on Vehicular Technology,2014,64(10):4807-4820.
[6] YAO K,WU Q,XU Y,et al.Distributed ABS-slot access in dense heterogeneous networks:a potential game approach with generalized interference model[J].IEEE Access,2017,5:94-104.
[7] 黄鹏,黄晨,廖薪棋,等.HetNet中基于功率控制的动态增强小区间干扰协调方案[J].计算机工程,2016,42(12):102-107.
[8] OZAWA M,OHTSUKI T.Improvements of femto-base station resource utilisation and ABS assignment conver-gence for dynamic ABS assignment[J].IET Communications,2017,11(3):370-376.
[9] 王千,王成,冯振元,等.K-means算法研究综述[J].电子设计工程,2012,20(7):21-24.
[10] 贾瑞玉,宋建林.基于聚类中心优化的k-means最佳聚类数确定方法[J].微电子学与计算机,2016,33(5):62-66.
[11] KAMEL M I,ELSAYED K.ABSF offsetting and optimal resource partitioning for eICIC in LTE-advanced:proposal and analysis using a nash bargaining approach[C]//Proceedings of 2013 IEEE International Conference on Communications.Washington D.C.,USA:IEEE Press,2013:430-437.
[12] XU Y,WU Q,SHEN L,et al.Opportunistic spectrum access with spatial reuse:graphical game and uncoupled learning solutions[J].IEEE Transactions on Wireless Communications,2013,12(10):4814-4826.
[13] OO T Z,TRAN N H,SAAD W,et al.Offloading in HetNet:a coordination of interference mitigation,user association,and resource allocation[J].IEEE Transactions on Mobile Computing,2017,16(8):2276-2291.
[14] 张秀宁,谈振辉,徐少毅,等.增强的小区间干扰协调技术综述[J].铁道学报,2013,35(2):51-65.
[15] FRATU O,VULPE A,CRACIUNESCU R,et al.Small cells in cellular networks:challenges of future HetNets[J].Wireless Personal Communications,2014,78(3):1613-1627.
[16] YAN Z,ZHOU W,CHEN S,et al.Modeling and analysis of two-tier HetNets with cognitive small cells[J].IEEE Access,2017,5:2904-2912.
[17] ZOU S,LIU N,PAN Z,et al.An enhanced almost blank sub-frame management for efficient eICIC in non-uniform HetNets[J].Journal of Southeast University,2017,33(1):14-21.