大规模MIMO系统基于小区分类-交叉熵的导频调度算法

doi:10.11959/j.issn.1000-436x.2018289

Abstract

Abstract:

The massive MIMO system is equipped with a large number of antennas at the base station to serve many users, but it is affected by the inter-cell interference which called pilot contamination. A pilot scheduling scheme was designed to reduce the effect of pilot contamination. Pilot scheduling problem belongs to the arrangement optimization problem, and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly. In order to reduce the influence of the interference of the community, a new pilot scheduling schemes was proposed by so this article using cell classification and cross entropy(CE) mechanism to reduce the effect of pilot contamination on the system. The simulation results show that the proposed algorithm can not only improve the performance of the system, but also reduce the computational complexity.

Key words: cell classification, cross-entropy, massive MIMO, pilot contamination, pilot scheduling

CLC Number:

TP309

Yinhui YU,Heng ZHOU,Ying YANG,Hao PAN,Jiapeng REN. Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO[J]. Journal on Communications, 2018, 39(12): 75-81.

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References 13

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仿真参数名称	数值
小区数量 L	7
每个小区用户数 K	25
小区半径 R	500 m
上行链路用户传输功率ρ_r	10 dBm
下行链路基站传输功率ρ_f	20 dBm
对数阴影衰落σ_shadow	8 dB
路径损耗系数 α	3
基站天线数量M	128

算法名称	计算复杂度	耗时/s
贪婪算法	(K!)^L?1=518 400	4 397.358
CC-CE算法	st_conv=2 800	43.918

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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO

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References 13

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