【摘要】 针对多天线蜂窝系统中小区间干扰带来的性能损失,研究了使用多小区协作波束选择来减少小区间干扰,提出了可在各个小区独立实现的分布式波束选择算法。该算法首先使小区之间相互交换用户的信道状态信息,之后每个小区基于本小区以及邻小区用户的信道状态信息来估计所有用户的信干噪比,最后选择能够最大化信干噪比乘积的波束。分析表明,在两小区模型下该算法的性能接近最优波束选择算法,同时复杂度大大降低。经仿真结果验证,在多天线蜂窝系统中使用分布式波束选择算法,可以在不影响用户公平性的基础上显著提高系统平均速率。更多还原

【Abstract】 Multicell cooperative beam selection was studied to reduce inter-cell interference in multiple antenna cellular systems.A distributed beam selection algorithm was proposed,which can be independently implemented in each cell. The proposed algorithm assumes that the channel state information of users is exchanged between cells.Then each cell estimates the signal-to-interference-noise ratio SINR of all users based on channel state information of both its own user and the users in other cells and selects the beam which can maximize product of the estimated SINR of all users.The performance and complexity of the proposed algorithm was analyzed.The analysis results show that the proposed algorithm can achieve near optimal performance under the two-cell model,with much lower complexity than that of the optimal algorithm.The simulation results show that the average rate of multiple antenna cellular systems can be significantly increased by utilizing the proposed algorithm,without compromising user fairness.更多还原