Joint Detection Algorithm for SDMA-MIMO Systems Based on GA

doi:10.3969/j.issn.1006-2475.2015.05.019

Abstract

Abstract: To improve the overall system performance for SDMA-MIMO, the joint MMSE multi-user detection and signal demodulation based on genetic algorithm is proposed. The algorithm values the demodulated user information as the initial population of the genetic algorithm, so the accuracy of multi-user detection algorithm is improved, and the system performance is improved after several iterations. Simulation results show that at the modest complexity, compared to MMSE detection based genetic algorithm, MMSE-GA MJD can achieve better performance.

Key words: SDMA-MIMO, multi-user detection, signal demodulation, joint optimization

CLC Number:

TN91

DU Juan, WANG Qi, FANG Wei-wei. Joint Detection Algorithm for SDMA-MIMO Systems Based on GA[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.05.019.

References

[1] Bagadi Kala Praveen, Das Susmita. Multiuser detection in SDMA-OFDM wireless communication system using complex multilayer perceptron neural network[J]. Wireless Personal Communications, 2014,77(1):21-39.

[2] Iliev I G, Budzevski M. Concatenated “MMSE-sequential search” algorithm for multi user detection in SDMA uplink[C]// Proceedings of the 2011 International Conference on Environmental Science and Technology (ICEST 2011). 2011,3:591-594.

[3] Douglas B, Perahia E, Pignatelli D, et al. Spatial division multiple access for wireless networks: USA, 7995525[P]. 2011-08-09.

[4] Vandenameele P, Van Der Perre L, Engels M, et al. A combined OFDM/SDMA approach[J]. IEEE Journal on Selected Areas in Communications, 2000,18(11):2312-2321.

[5] Pun M O, Koivunen V, Poor H V. Performance analysis of joint opportunistic scheduling and receiver design for MIMO-SDMA downlink systems[J]. IEEE Transactions on Communications, 2011,59(1):268-280.

[6] Studer C, Fateh S, Seethaler D. ASIC implementation of soft-input soft-output MIMO detection using MMSE parallel interference cancellation[J]. IEEE Journal of Solid-State Circuits, 2011,46(7):1754-1765.

[7] Jain S, Agrawal S, Khan M N. Estimation and analysis of parallel interference cancellation (PIC) using AWGN channel in DS-CDMA receiver system[J]. International Journal of Innovative Research and Development, 2013,2(6):479-492.

[8] Mitchell Melanie. An Introduction to Genetic Algorithms[M]. Cambridge, MA: MIT Press, 1998.

[9] Whitley D. A genetic algorithm tutorial[J]. Statistics and Computing, 1994,4(2):65-85.

[10] Jiang Ming, Hanzo L. Multiuser MIMO-OFDM for next-generation wireless systems[J]. Proceedings of the IEEE, 2007,95(7):1430-1469.

[11] Jiang Ming, Akhtman J, Hanzo L. Iterative joint channel estimation and multi-user detection for multiple-antenna aided OFDM systems[J]. IEEE Transactions on Wireless Communications, 2007,6(8):2904-2914.

[12] 申雅峰. MIMO检测算法研究与实现[D]. 西安:西安电子科技大学, 2010.

[13] 杜娟. 基于优化算法的MIMO-OFDM系统多用户检测技术研究[D]. 郑州:郑州大学, 2012.

[14] Han Yu, Jin Shi, Li Xiao, et al. A joint SDMA and interference suppression multiuser transmission scheme for millimeter-wave massive MIMO systems[C]// Proceedings of the 6th International Conference on Wireless Communications and Signal Processing (WCSP). 2014.

[15] Marzetta Thomas L, Caire Giuseppe, Debbah Merouane, et al. Special issue on massive MIMO[J]. Journal of Communications and Networks, 2013,15(4):333-337.

[16] Hoydis Jakob, Ten Brink Stephan, Debbah Merouane. Massive MIMO: How many antennas do we need?[C]// Proceedings of the 49th Annual Allerton Conference. 2011:545-550.

[17] 王海荣,王玉辉,黄永明,等.大规模MIMO多小区TDD系统中的导频污染减轻方法[J]. 信号处理, 2013,29(2):171-180.