超密集网络空域协同波束形成研究
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摘要
为了降低超密集网络(UDN)小区微型化所带来的严重小区间干扰,提出一种基于空域协同波束形成的UDN干扰消除方法。首先建立超密集网络协同波束形成的多目标优化系统模型,然后利用凸优化方法求解得到原问题的最优解(协同波束形成器);针对最优波束形成器难以工程实现的局限,结合最优解结构特征,设计了由信号泄漏噪声比波束形成导向矢量和最优功率分配构成的线性次优波束形成器。仿真结果表明,该波束形成器能有效地抑制小区间干扰而提高系统容量。
In this paper, the spatial coordination beamforming scheme is proposed to reduce the serious intercell interference in ultra dense network(UDN). Firstly, the multi-objective optimization model of coordination beamforming system is presented. Then, the optimal beamformer of the optimization problem is achieved by convex optimization algorithm. Further, considering the limitations of the implementation of the optimal beamformer, the linear suboptimal beamformer is designed which is consisting of the signal leakage noise ratio based beamforming steering vector and optimal power allocation. Simulation results show that the proposed suboptimal beamformer can effectively suppress intercell interference and improve system capacity.
In this paper, the spatial coordination beamforming scheme is proposed to reduce the serious intercell interference in ultra dense network(UDN). Firstly, the multi-objective optimization model of coordination beamforming system is presented. Then, the optimal beamformer of the optimization problem is achieved by convex optimization algorithm. Further, considering the limitations of the implementation of the optimal beamformer, the linear suboptimal beamformer is designed which is consisting of the signal leakage noise ratio based beamforming steering vector and optimal power allocation. Simulation results show that the proposed suboptimal beamformer can effectively suppress intercell interference and improve system capacity.
引文
[1]GODANA B E,GESBERT D.Coordinated beamforming in multicell networks with channel state information exchange delays[C]//London,UK:Institute of Electrical and Electronics Engineers Inc,2013.
[2]HUI D,AXNAS J.Joint routing and resource allocation for wireless self-backhaul in an indoor ultra-dense network[C]//London,UK:Institute of Electrical and Electronics Engineers Inc,2013.
[3]ESCUDERO G J J,HONG M,GARCIA A,et al.Interference pricing mechanism for downlink multicell coordinated beamforming[J].IEEE Transactions on Communications,2014,62(6):1871-1883.
[4]DAHROUJ H,YU W.Coordinated beamforming for the multicell multi-antenna wireless system[J].IEEE Transactions on Wireless Communications,2010,9(5):1748-1759.
[5]UTSCHICK W,BREHMER J.Monotonic optimization framework for coordinated beamforming in multicell networks[J].IEEE Transactions on Signal Processing,2012,60(4):1899-1909.
[6]TAPIA E M,INTILLE S S,LARSON K.Portable wireless sensors for object usage sensing in the home:Challenges and practicalities[C]//Darmstadt,Germany:Springer Verlag,2007.
[2]HUI D,AXNAS J.Joint routing and resource allocation for wireless self-backhaul in an indoor ultra-dense network[C]//London,UK:Institute of Electrical and Electronics Engineers Inc,2013.
[3]ESCUDERO G J J,HONG M,GARCIA A,et al.Interference pricing mechanism for downlink multicell coordinated beamforming[J].IEEE Transactions on Communications,2014,62(6):1871-1883.
[4]DAHROUJ H,YU W.Coordinated beamforming for the multicell multi-antenna wireless system[J].IEEE Transactions on Wireless Communications,2010,9(5):1748-1759.
[5]UTSCHICK W,BREHMER J.Monotonic optimization framework for coordinated beamforming in multicell networks[J].IEEE Transactions on Signal Processing,2012,60(4):1899-1909.
[6]TAPIA E M,INTILLE S S,LARSON K.Portable wireless sensors for object usage sensing in the home:Challenges and practicalities[C]//Darmstadt,Germany:Springer Verlag,2007.