基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法

doi:10.3969/j.issn.0372-2112.2018.04.029

电子学报 ›› 2018, Vol. 46 ›› Issue (4): 984-991.DOI: 10.3969/j.issn.0372-2112.2018.04.029

基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法

谢显中, 张森林, 李丹, 雷维嘉

重庆邮电大学个人通信研究所, 重庆 400065

收稿日期:2016-05-23 修回日期:2017-04-13 出版日期:2018-04-25
- 作者简介:
- 谢显中 男,1966年出生,四川人.重庆邮电大学教授,博士生导师.主要研究方向为认知无线电、移动通信技术等.E-mail:xiexzh@cqupt.edu.cn;张森林 男,1987年生,四川人.现为重庆邮电大学通信与信息工程学院硕士研究生.主要研究方向为干扰对齐技术.E-mail:254945521@qq.com;李丹女,1989年生,四川自贡人.现为重庆邮电大学通信与信息工程学院硕士研究生.主要研究方向为干扰对齐技术.E-mail:1160872086@qq.com;雷维嘉 男,1969年生,云南元谋人.重庆邮电大学教授,硕士生导师,主要研究方向为无线通信技术、嵌入式系统等.E-mail:leiwj@cqupt.edu.cn
- 基金资助:
- 国家自然科学基金 (No.61271259，No.61301123，No.61471076）; 重庆市教委科学技术研究项目 (No.KJ120501，No.KJ130536）; 长江学者和创新团队发展计划 (No.IRT1299）; 重庆市科委重点实验室专项经费 (CSTC）

Robust Joint Interference and Phase Alignment Algorithm Based on Bayes Estimation and Power Allocation Among Signal Flows

XIE Xian-zhong, ZHANG Sen-lin, LI Dan, LEI Wei-jia

Institute of Personal Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2016-05-23 Revised:2017-04-13 Online:2018-04-25 Published:2018-04-25
- Supported by:
- National Natural Science Foundation of China (No.61271259, No.61301123, No.61471076); Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJ120501, No.KJ130536); Program for Changjiang Scholars and Innovative Research Team in University (No.IRT1299); Fund of Key Laboratory of Chongqing Municipal Science & Technology Commission (CSTC)

摘要/Abstract

摘要： 针对信道状态信息（CSI）存在时延和误差的情况，本文提出了适用于多小区MIMO-BC的基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法.首先，发送端通过Bayes估计获得当前CSI的最佳估计；其次，通过最大化期望信号功率与小区间干扰功率的比值来设计干扰抑制矩阵；而在反向通信时，通过最大化信干比来设计预编码；进一步地，结合注水算法来优化功率分配.最后，采用相位对齐将数据流间的干扰旋转到目标接收数据流的信号空间中，进而增强目标数据流的接收功率.仿真表明，无论是在理想CSI还是时延误差CSI，本文算法较其他算法都有一定的性能优势.

关键词: 稳健干扰对齐, 时延误差, Bayes估计, 用户数据流间功率分配, 相位对齐

Abstract:

In the case of the delay and error Channel State Information (CSI), a robust joint interference and phase alignment algorithm based on Bayes estimation and power allocation among signal flows is proposed for multi-cell MIMO-BC. Firstly, the best prediction of the current CSI is obtained through Bayes estimation by the senders. Secondly, interference suppression matrix is designed through maximizing signal to inter-cell interference plus noise ratio in the forward link, and the pre-coding matrix is designed through maximizing SINR in the reverse link. Further, the water-filling power allocation is used to optimize power allocation among signal flows. Finally, the interference among the data flows is rotated into signal space which improves the received power. Under the conditions of the perfect CSI and the delay and error CSI, the simulation results verify that the proposed algorithm improves the performance of system compared with the existing algorithms.

Key words: robust interference alignment, the delay and error, Bayes estimation, power allocation among signal flows, phase alignment

中图分类号:

TN929.53

谢显中, 张森林, 李丹, 等. 基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法[J]. 电子学报, 2018, 46(4): 984-991.

XIE Xian-zhong, ZHANG Sen-lin, LI Dan, et al. Robust Joint Interference and Phase Alignment Algorithm Based on Bayes Estimation and Power Allocation Among Signal Flows[J]. Acta Electronica Sinica, 2018, 46(4): 984-991.

参考文献

[1] 谢显中,黄倩,等.一种云存储中基于干扰对齐的多节点精确修复方法[J].电子学报,2014,42(10):1873-1881. XIE Xian-zhong,HUANG Qian,et al.A multi-node exact repair method in cloud storage based on interference alignment[J].Acta Electronica Sinica,2014,42(10):1873-1881.(in Chinese)
[2] 朱世磊,郑娜娥,等.认知MIMO干扰网络最优干扰对齐算法[J].电子学报,2016,44(6):1406-1412. ZHU Shi-lei,ZHENG Na-e,et al.Optimum interference alignment algorithm for cognitive MIMO interference network[J].Acta Electronica Sinica,2016,44(6):1406-1412.(in Chinese)
[3] 吴飞,邵士海,等.一种基于多天线波束成形的全双工自干扰抵消算法[J].电子学报,2017,45(1):8-15. WU Fei,SHAO Shi-hai,et al.A novel self-interference cancellation algorithm using multi-antenna beamforming in full-duplex system[J].Acta Electronica Sinica,2017,45(1):8-15.(in Chinese)
[4] REZAEI F,TADAION A.Sum-rate improvement in cognitive radio through interference alignment[J].IEEE Transactions on Vehicular Technology,2016,65(1):145-154.
[5] JAFAR S A,CADAMBE V R.Degrees of freedom of wireless networks-what a difference delay makes[A].Proceedings of the 41st Asilomar Conference on Signals,Systems,and Computers (ACSSC)[C].Pacific Grove,CA,2007.133-137.
[6] ABDOLI M J,KHANDANI A.On the degrees of freedom of three-user MIMO broadcast channel with delayed CSIT[A].Proceedings of IEEE International Symposium on Information Theory (ISIT)[C].St Petersburg:IEEE,2011.209-213.
[7] CADAMBE V R,JAFAR S A.Interference alignment and the degrees of freedom of the K user interference channel[J].IEEE Transactions on Information Theory,2008,54(8):3425-3441.
[8] MALEKI H,JAFAR S A,SHAMAI S.Retrospective interference alignment over interference networks[J].IEEE Journal of Selected Topics in Signal Processing,2012,6(3):228-240.
[9] SHIN Wonjae,HAN Yonghee,LEE Jungwoo,et al.Retrospective interference alignment for two-cell uplink MIMO cellular networks with delayed CSIT[A].Proceedings of 2015 IEEE International Conference on Communications (ICC)[C].London:IEEE,2015.4144-4150.
[10] YU Heejung,SUNG Youngchul,Kim HAKSOO.Adaptive beam tracking for interference alignment for multiuser time-varying MIMO interference channels[A].Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)[C].Dallas,TX:IEEE,2010.3086-3089.
[11] ZHAO N,YU F R,SUN Hongjian,et al.Interference alignment based on channel prediction with delayed channel state information[A].Proceedings of 2012 IEEE Global Communications Conference[C].Anaheim,CA:IEEE,2012.4244-4248.
[12] SHEN Hui,LI Bin,TAO Meixia,et al.MSE-based transceiver designs for the MIMO interference channel[J].IEEE Transactions on Wireless Communications,2010,9(11):3480-3489.
[13] TRESCH R,GUILLAUD M.Cellular interference alignment with imperfect channel knowledge[A].Proceedings of the IEEE International Conference on Communications (ICC)[C].Dresden,Germany:IEEE,2009.1-5.
[14] 李宁,王思文,等.一种加权均方误差最小化的鲁棒性干扰对齐算法[J].电子与信息学报,2016,38(3):643-648. LI Ning,WANG Si-wen,ZHAI Li-jun,et al.A robust interference alignment algorithm based on weighted mean square error minimization[J].Journal of Electronics & Information Technology,2016,38(3):643-648.(in Chinese)
[15] 谢显中,邵奇,等.非理想信道状态信息下的稳健干扰安排设计[J].北京邮电大学学报,2012,35(3):6-10. XIE Xian-zhong,SHAO Qi,et al.A robust interference alignment scheme with imperfect CSI used in multi-cell system[J].Journal of Beijing University of Posts and Telecommunications,2012,35(3):6-10.(in Chinese)
[16] 谢显中,张森林,等.一种基于QR分解的稳健干扰对齐算法[J].电子与信息学报,2015,37(8):1957-1963. XIE Xian-zhong,ZHANG Sen-lin,et al.A robust interference alignment algorithm based on QR decomposition[J].Journal of Electronics & Information Technology,2015,37(8):1957-1963.(in Chinese)
[17] AQUILINA P,RATNARAJAH T.Performance analysis of IA techniques in the MIMO IBC with imperfect CSI[J].IEEE Transactions on Communications,2015,63(4):1259-1270.
[18] RAZAVI S M,RATNARAJAH T.Adaptively regularized phase alignment precoding for multiuser multiantenna downlink[J].IEEE Transactions on Vehicular Technology,2015,64(10):4863-4869.
[19] CLARKE R H.A statistical theory of mobile radio reception[J].The Bell System Technical Journal,1968,47(6):957-1000.
[20] KAY S M.Fundamentals of Statistical Signal Processing:Estimation Theory[M].University of Rhode Island:Prentice Hall PTR,1993.1-595.
[21] 张贤达.矩阵分析及应用[M].北京,清华大学出版社,2004.71-73.
[22] COVER T M,THOMAS J A.Elements of Information Theory[M].New York,Wiley:A John Wiley & Sons,Inc,1991.1-748.
[23] Goldsmith ANDREA.Wireless Communications[M].England,UK:Cambridge University Press,2005.1-561.

基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法

Robust Joint Interference and Phase Alignment Algorithm Based on Bayes Estimation and Power Allocation Among Signal Flows

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