Pre-Coding Design of Asynchronous Interference Suppression for Multi-Base Station Cooperative

doi:10.13190/j.jbupt.2016-192

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (6): 86-91.doi: 10.13190/j.jbupt.2016-192

• Reports • Previous Articles Next Articles

Pre-Coding Design of Asynchronous Interference Suppression for Multi-Base Station Cooperative

XIAO Hai-lin^1,2, WANG Ru², YAN Xiao-juan², JIANG Wei²

1. College of Physics and Electronic Information Engineering, Wenzhou University, Zhejing Wenzhou 325035, China;
2. Key Laboratory of Cognitive Radio and Information Processing(Guilin University of Electronic Technology), Ministry of Education, Guangxi Guilin 541004, China

Received:2016-08-22 Online:2017-12-28 Published:2017-12-28
Supported by:

Abstract

Abstract: In multi-base station cooperative systems, the distances are different between the base stations and the users which will result in asynchronous interference of users received signals. To suppress asynchronous interference, a pre-coding design for muti-base station cooperative communication is proposed based on particle swarm optimization algorithm. The pre-coding design converts the pre-coding matrixes into the position parameters matrixes of the optimization particle, updates the optimization position parameters by intelligent learning among the particles, and adjusts the fitness function to maximize the signal to interference plus noise ratio of user. Thus, the pre-coding design can be used to suppress asynchronous interference of users received signals. Numerical simulations show that, compared with the improved block diagonalization algorithm, the proposed algorithm the proposed algorithm will increase the sum rate of system 2~7 bit/s with a good convergence.

Key words: multi-base station cooperative, asynchronous interference, particle swarm optimization algorithm, pre-coding, block diagonalization

CLC Number:

TN929.5

XIAO Hai-lin, WANG Ru, YAN Xiao-juan, JIANG Wei. Pre-Coding Design of Asynchronous Interference Suppression for Multi-Base Station Cooperative[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(6): 86-91.

References

[1] Trabelsi N, Chen Chung Shue, Roullet L, et al. Coordinated scheduling via frequency and power allocation optimization in cellular networks[C]//IEEE/IFIP Network Operations and Management Symposium. Istanbul:IEEE, 2016:44-51.
[2] Li Zhuoming, Liu Yuqi, Zhang Yu, et al. Hybrid coo-rdinated strategy of downlink coordinated multi-point transmission[J]. Systems Engineering and Electronics, 2015, 26(5):916-923.
[3] Heng W, Liang T, Meng C, et al. Dynamic clustering of coordinated multi-point transmission based on friends algorithm[J]. Chinese Journal of Electronics, 2015, 24(2):414-418.
[4] Sun Huan, Fang Wei. Multi-user scheduling and interference alignment for cooperative multi-cell downlink transmissions[C]//IEEE Vehicular Technology Conference. Las Vegas:IEEE, 2013:1-5.
[5] Hsu C, Yeoh P L, Krongold B S. Successive convex approximation for rate maximisation in cooperative multiple input multiple-output orthogonal-frequency-division multiplexing systems[J]. The Institution of Engineering and Technology Communications, 2015, 9(14):1721-1729.
[6] Torbatian M, Najafi H, Damen M O. Asynchronous interference alignment[J]. IEEE Transactions on Wireless Communications, 2012, 11(9):3148-3157.
[7] Zheng Pinlian, Xie Xianzhong, Qu Gang. Suppressed inter-cell asynchronous interference by delay-tolerance SLNR precoding[C]//IEEE International Conference on Advanced Communication Technology. Gangwon-do:[s.n.], 2010:627-632.
[8] Wang Y, Dai H, Wang T, et al. Improvedblock diagonalisation algorithm under asynchronous interference condition[J]. IET Communications, 2012, 6(3):257-263.
[9] Hassan M H, Hossain M J, Bhargava V K. Distributed beamforming and autonomous participation decision making in cooperative CR systems in presence of asynchronous interference[J]. IEEE Transactions on Wireless Communications, 2016, 15(7):5016-5029.
[10] Tang Jingming, Zhao Kun, Ni Chenquan, et al. Robust MMSE design with async-hronous interference mitigation in cooperative base stationsystems[J]. Wireless Personal Communications, 2014, 78(2):889-903.
[11] 张秀军, 肖立民, 周世东, 等. 存在传输时延差的多点协作多用户传输[J]. 东南大学学报, 2012, 6(42):1036-1040. Zhang Xiujun, Xiao Limin, Zhou Shidong, et al. Multi-user coordinated multi-point transmission with different delays[J]. Journal of Southeast University, 2012, 6(42):1036-1040.
[12] Zhang Hongyuan, Mehta N B, Molisch A F, et al. Asynchronous interference mitigation in cooperative base station systems[J]. IEEE Transactions on Wireless Communications, 2008, 7(1):155-165.
[13] Qiao Jianyong. Two problems in the value distribution theory[J]. Acta Mathematic Sinica, 1995, 11(4):365-371.
[14] Poli R, Kennedy J, Blackwell T. Particle swarm optimization[J]. Swarm Intelligence, 2007, 1(1):33-57.
[15] Robinson J, Rahmat-Samii Y. Particle swarm optimization in electromagnetics[J]. IEEE Transactions on Antennas and Propagation, 2004, 52(2):397-407.
[16] Zhang Zhe, Jia Limin, Qin Yong. Modified constriction particle swarm optimization algorithm[J]. Systems Engineering and Electronics, 2015, 26(5):1107-1113.
[17] Zhan Zhihui, Zhang Jun, Li Yun, et al. Adaptive particle swarm optimization[J]. IEEE Transactions on System, Man, and Cybernetics, Part B:Cybernetics, 2009, 39(6):1362-1381.
[18] Hu Mengqi, Wu T F, Weir J D. An adaptive particle swarm optimization with multiple adaptive methods[J]. IEEE Transactions on Evolutionary Computation, 2013, 17(5):705-720.
[19] Zhang Rui, Song Rongfang. A linear pre-coding strategy based on particle swarm optimization in multicell cooperative transmission[J]. Journal of Electronics(China), 2011, 28(1):15-21.
[20] Qiao Jiangyong. On the preimages of parabolic periodic points[J]. Nonlinearity, 2000, 13(3):813-818.

Pre-Coding Design of Asynchronous Interference Suppression for Multi-Base Station Cooperative

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 11

Recommended Articles

Metrics

Comments

[1]	ZHENG Feng, YANG Li. Joint Beamforming Scheme Based on PSO Algorithm for RIS-MIMO System [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(5): 23-29.
[2]	HUANG Yi-bin, YANG He, ZHOU Zhong-bing, LIU Xiao. An Optimization Method for Urban Underground Parking Lots Allocation Based on Polygon Decomposition [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(4): 7-14.
[3]	LIU Lin-lan, XU Jiang-bo, CHEN Yu-bin, SHU Jian. A Link Quality Estimation Method for WSNs Based on Extreme Learning Machine [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(1): 134-138.
[4]	FENG Jia-zhen, ZHANG Jian-guo, JIA Qing-xuan, CHEN Gang, SUN Jing-yi. Automatic Updating Response Surface Method for Motion Trajectory Reliability Analysis of Manipulator [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(4): 35-40.
[5]	TIAN Xin-ji, ZHAO Hong-tu, ZHAO Wen-tao. New Space-Time Coded Transmission Scheme for MIMO Interference Channel [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2015, 38(4): 117-121.
[6]	LI Ya, TIAN Xin-ji, LI Jing. New Interference Cancellation Method for MIMO Interference Channel [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 23-27.
[7]	TIAN Xin-ji, LI Ya. New Space-Time Coded Transmission Scheme for X Channel [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(1): 99-102.
[8]	Han Dongsheng wei yang. Performance Analysis of Limited Feedback in Multi-Base-Station Coordination Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(2): 79-83.
[9]	HOU Hua, LI Gen-xuan, ZHOU Wu-yang. Weighted Proportional Fairness Adaptive Particle Swarm Optimization Cross-Layer Resource Allocation Algorithm [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(5): 59-62.
[10]	. Degree Distribution Design of LT Codes Using PSO Algorithm with Gradient [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2011, 34(3): 40-43.
[11]	WANG Yafeng1，ZHANG Junfeng2，ZHANG Jian1，YANG Dacheng1. Detection Algorithm Based on an Enhanced Null Space Constraint for MultiUser MIMO Systems [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2005, 28(6): 79-83.