针对量化预编码系统的多用户选择方法

doi:10.13190/j.jbupt.2017.04.004

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (4): 23-28.doi: 10.13190/j.jbupt.2017.04.004

针对量化预编码系统的多用户选择方法

刘剑飞, 陶颖, 王蒙军, 曾祥烨, 卢嘉

河北工业大学电子信息工程学院, 天津 300401

收稿日期:2016-10-19 出版日期:2017-08-28 发布日期:2017-07-10
作者简介:刘剑飞(1968-),男,教授,E-mail:jfliu@hebut.edu.cn.
基金资助:
天津市自然科学基金项目（15JCYBJC17000）；河北省自然科学基金青年项目（F2015202331）；河北省高层次人才资助项目（C2013001048，GCC2014011）；河北省高等学校科学技术研究项目（2D2017021）

Enhanced User Selection Algorithm for Massive MIMO with Quantized Precoding

LIU Jian-fei, TAO Ying, WANG Meng-jun, ZENG Xiang-ye, LU Jia

School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China

Received:2016-10-19 Online:2017-08-28 Published:2017-07-10

摘要/Abstract

摘要： 为了提升大规模多用户多输入多输出系统的性能，对多用户选择方法进行了研究，提出了2种同时考虑用户信道质量和用户间干扰的多用户选择方法.通过将1 bit反馈法和最小化预编码向量相关性法结合，大大降低了用户选择的计算复杂度；基站端首先通过将所有用户组的预编码向量相关性与预定门限值比较，得到待选用户组的集合，然后选择待选用户组中信道增益和最大的一组用户服务，提升了系统的和容量.通过系统仿真验证了2种方法的有效性.

关键词: 多用户选择, 量化预编码, 和容量, 反馈开销, 计算复杂度

Abstract: In multi-user massive (MIMO) wireless system, where the base station equipped with a large number of antennas simultaneously serves multiple users, user selection algorithms have become a rising concern. Two user selection algorithms, in which both channel quality and multi-user interference are taken in account, were proposed. The one is implemented by combining 1-bit feedback and minimizing the preceding vector correlation, it can effectively reduce the computation complexity; In the other algorithm, the list of users is got from potential users by comparing the preceding vector correlation with a threshold, then a set of users with the largest sum of the channel gain were selected, so the sum capacity is further improved. The performance and complexity of algorithms are analyzed.

Key words: multi-user selection, quantized precoding, sum capacity, feedback overhead, computation complexity

中图分类号:

TN911

刘剑飞, 陶颖, 王蒙军, 曾祥烨, 卢嘉. 针对量化预编码系统的多用户选择方法[J]. 北京邮电大学学报, 2017, 40(4): 23-28.

LIU Jian-fei, TAO Ying, WANG Meng-jun, ZENG Xiang-ye, LU Jia. Enhanced User Selection Algorithm for Massive MIMO with Quantized Precoding[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(4): 23-28.

参考文献

[1] 尤肖虎, 潘志文, 高西奇, 等. 5G移动通信发展趋势与若干关键技术[J]. 中国科学:信息科学, 2014, 44(5):551-563. You Xiaohu, Pan Zhiwen, Gao Xiqi, et al. 5G mobile communications and its promotion[J]. SCIENCE CHINA Information Sciences, 2014, 44(5):551-563.
[2] Aziz D, Mazhar M, Weber A. Impact of multi user selec-tion on the performance of transmit precoding in MU-MIMO cellular systems[C]//2013 IEEE Wireless Communications and Networking Conference (WCNC). Shanghai:[s. n.], 2013:3191-3196.
[3] Floren F, Edfors O, Molin B A. The effect of feedback quantization on the throughput of amultiuser diversity scheme[C]//2003 IEEE Global Telecommunications Conference.[S. l.]:IEEE, 2003:497-501.
[4] Sanayei S, Nosratinia A. Exploiting multiuser diversity with only 1-bit feedback[C]//2005 IEEE Wireless Communications and Networking Conference.[S. l.]:[s. n], 2005:978-983.
[5] Huang Kaibin, Andrews J G, Heath R W. Performance of orthogonal beam-forming for SDMA with limited feedback[J]. IEEE Transactions on Vehicular Technology, 2009, 58(1):152-164.
[6] 张翔, 李勇, 彭木根, 等. TD-HSUPA MU-MIMO室内调度及用户配对[J]. 北京邮电大学学报, 2012, 35(2):64-67. Zhang Xiang, Li Yong, Peng Mugen, et al. Indoor scheduling and user pairing for TD-HSUPA MU-MIMO system[J]. Journal of Beijing University of Posts and Telecommunications, 2012, 35(2):64-67.
[7] Fang Yan na, Su Xin, Zeng Jie. Effective user selection algorithm for quantized precoding in massive MIMO[C]//20138^th International ICST Conference on Communications and Networking in China. Guilin:[s. n.], 2013:353-357.
[8] Pekka K, Meinila J, Hentila L, et al. IST-4-027756_2007, winner Ⅱ D1. 1. 2 V1. 2 winner Ⅱ channel models[S].[S.l.]:Information Society Technologies, 2007:9-60.
[9] Wu Xuewen, Jing Xiaorong, Liu Li. 3D MU-MIMO precoding method based on Khatri-Rao product[J]. Telecommunication Engineering, 2014, 54(11):1510-1515.

针对量化预编码系统的多用户选择方法

Enhanced User Selection Algorithm for Massive MIMO with Quantized Precoding

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 5

编辑推荐

Metrics

本文评价

[1]	马英杰, 赵耿, 范晓红, 张昕然, 高原. 面向5G F-OFDM的量子混沌扩展序列算法[J]. 北京邮电大学学报, 2019, 42(2): 90-94.
[2]	程铁铮袁超伟解芳. MIMO广播系统中的用户丢弃准则[J]. 北京邮电大学学报, 2009, 32(3): 27-31.
[3]	王建辉刘景伟寇卫东李晓辉. 低计算复杂度的半盲签名方案[J]. 北京邮电大学学报, 2009, 32(3): 123-126.
[4]	赵绍刚，肖征荣，吴伟陵. 矢量广播信道下CDMA和TDMA信道容量的比较[J]. 北京邮电大学学报, 2005, 28(2): 68-71.
[5]	宋荣功, 胡正名, 杨义先. 建立部分密钥托管系统的新途径[J]. 北京邮电大学学报, 1999, 22(4): 100-104.