摘要：

根据信道环境选择最优的微基站与波束时存在非自适应问题。为此,基于随机向量量化码本的限制反馈波束赋形技术,推 导出最大化平均有效信噪比的表达式,提出以用户为中心的分布式毫米波蜂窝小区基站与波束的自适应选择算法。根据 用户在蜂窝内的位置，以平均有效信噪比为代价函数，自适应地选择最优的微基站。仿真结果表明,在反馈比特数为6 bit以及信噪比大于12 dB的情况下,该算法的误码率和遍历容量性能都优于固定数目的微基站,能够获得2 dB~4 dB的信 道增益。

关键词: 有限反馈, 波束赋形, 平均有效信噪比, 毫米波, 自适应基站选择

Abstract:

Aiming at the non-adaptive problem of selecting the optimal Micro Base Stations(MBSs) and beam according to the channel environment,based on the limited feedback beamforming technique of the random vector quantization codebook,the expression of the maximum average Effective Signal-to-Noise Ratio(ESNR) is derived,and an Adaptive Base Station and Beam Selection(ABSBS) algorithm for user-centric distributed millimeter-wave cellular is proposed.According to the location of the user in the cellular,the optimal MBSs is adaptively selected with the average ESNR as the cost function.The simulation results show that,when the feedback bit number is 6 bit and the Signal-to-Noise Ratio (SNR) is more than 12 dB,the error rate and ergodic capacity of the proposed algorithm are better than those of the fixed number of micro base stations,and the channel gain of 2 dB~4 dB is obtained.

Key words: limited feedback, beamforming, average Effective Signal-to-Noise Ratio(ESNR), millimeter-wave, adaptive base station selection

中图分类号: 

• TN929.5