Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes
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Published:
Feb 25, 2014
Keywords:
Multiple-Input Multiple-Output (MIMO) Maximum Likelihood Detection (MLD) Successive Interference Cancellation (SIC) Space-time Block Code (STBC) Symbol Error Rate (SER)
Main Article Content
Abstract
It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth efficiency. The highest bandwidth efficiency can be taken by applying Multi-User Multiple-Input Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of users. Thus the lower complex detection is necessarily required for MU-MIMO system. Recently, the simple detection technique called hybrid-MIMO receiver scheme (HMRS) has been proposed by the authors. However, that study neglected the demands of multiple users for transmitting MIMO modes which are crucially unpredictable in practice. In this paper, the performance analysis of MU-MIMO system using HMRS technique to support various types of user transmission modes is presented. Moreover, the nearly exact symbol error rate (SER) analysis of HMRS with the nonlinear error propagation effect over Rayleigh channels is originally presented. The recursive procedure is adopted to derive the nearly closed-form expressions of the error probability of each user. The results indicate that HMRS technique can improve the error rate more than the existing hybrid-MIMO about 8 dB at 10e−4 SER, increasing the total number of user and number of SM user introduce the diversity gain loss. The simulation results illustrate the performance accuracy of the proposed analysis.
Article Details
How to Cite
Khomyat, T., Uthansakul, P., & Uthansakul, M. (2014). Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 12(1), 53–62. https://doi.org/10.37936/ecti-eec.2014121.170804
Section
Communication Systems
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[2] S. Alamouti, "A simple transmit diversity technique for wireless communication," IEEE J. Selected Area Commun., vol. 16, no. 8, pp. 1451-1458, Oct. 1998.
[3] V. Tarokh, H. Jafarkhani, and A. R. Calderbank, "Space-time block codes from orthogonal designs," IEEE Trans. Inform. Theory, vol. 5, no.5, pp.1456-1467, Jul. 1999.
[4] G. J. Foschini, "Layered space-time architecture for wireless communications in a fading environment when using multiple antennas," Bell Labs Tech. J., vol. 1, no. 2, pp. 41-59, Oct. 1996.
[5] Y. J. Song, S. W. Ko, H. J. Park, H. H. Lee, and H. K. Song, "A novel ecient detection scheme for hybrid STBC in MIMO-OFDM systems," Proc. 12th IEEE Int. Conf. Commun. Technology, pp. 701-704, 2010.
[6] L. Zhao, and V.K. Dubey, "Transmit diversity and combining scheme for spatial multiplexing over correlated channels," Proc. Veh. Technology Conf. IEEE 59th, pp. 380-383, 2004.
[7] J. Cortez, M. Bazdresch, D. Torres and R. Parra Michel, "ABBA- VBLAST hybrid space-time code for MIMO wireless communications," Proc. 5th IEEE Int. Conf. Elect. Eng., Computing Sci. Automat. Control, pp. 257-262, 2008.
[8] Hien Q. Ngo, T.Q. Duong, and E.G. Larsson, "Uplink performance analysis of multicell MU-MIMO with zero-forcing receivers and perfect CSI," IEEE Swedish Commun. Technologies Workshop, pp. 40-45, 2011.
[9] C. W. Tan, and A. R. Calderbank, "Multiuser detection of Alamouti signals," IEEE Trans. Commun., vol. 57, no. 7, pp. 2080-2089, Jul. 2009.
[10] L. L. Yang, "Receiver multiuser diversity aided multi-stage MMSE multiuser detection for DS-CDMA and SDMA systems employing I-Q modulation," Proc. Veh. Technology Conf. Fall IEEE 72nd, pp. 1-5, 2010.
[11] K. Liu, S. S. Xing, "Combined multi-stage MMSE and ML multiuser detection for under determined MIMO systems," IET Int. Commun. Conf. on Wireless Mobile Computing, pp. 10-14, 2011.
[12] M. A. Shah , B. Mennenga, and G. Fettweis, "Iterative Soft-In Soft-Out sphere detection for 3GPP LTE," IEEE 71st Veh. Technology Conf., pp.1-5, 2010.
[13] Y. Sanada, and Q. Wang, "A co-channel interference cancellation technique using orthogonal convolutional codes on multipath Rayleigh fading channel," IEEE Trans. Veh. Technology, vol. 46, no. 1, pp. 114-128, Feb. 1997.
[14] W. da C. Freitas Jr., F. R. P. Cavalcanti, and R. R. Lopes, "Hybrid transceiver schemes for spatial multiplexing and diversity in MIMO systems," J. Commun. Inform. Syst., vol. 20, no. 3, pp. 63-76,
Mar. 2005.
[15] S. Reinhardt, T. Buzid and M. Huemer, "Successive interference cancellation for SC/FDEMIMO system," IEEE 17th Int. Symp. Personal, Indoor Mobile Radio Commun., pp. 1-5, 2006.
[16] T. Khomyat, P. Uthansakul, and M. Uthansakul, "Hybrid-MIMO receiver with both space-time coding and spatial multiplexing detections for cognitive radio networks," IEEE 2011 Int. Symp. Intelligent Signal Process. Commun. Syst., pp. 1-4, 2011.
[17] X. Zhu and R. D. Murch, "Performance analysis of maximum likelihood detection in a MIMO antenna system," IEEE Trans. Commun., vol. 50, no. 2, pp. 187-191, Feb. 2002.
[18] M. Kiessling, J. Speidel, N. Geng, and M. Reinhardt, "Performance analysis of MIMO maximum likelihood receivers with channel correlation, colored gaussian noise, and linear prefiltering," IEEE Int. Conf. Commun., pp. 3026-3030, 2003.
[19] M. D. Renzo, and H. Haas, "Bit error probability of SM-MIMO over generalized fading channels," IEEE Trans. Veh. Technology, vol. 61, no. 3, pp. 1124-1144, Mar. 2012.
[20] R. V. Nee, A. V. Zelst, and G. Awater, "Maximum likelihood decoding in a space division multiplexing system," Proc. IEEE 51th Veh. Technology Conf., pp. 6-10, 2000.
[21] A. I. Sulyman, Y. Al-Zahrani, S. Al-Dosari, A. Al-Sanie, and S. Al-Shebeili, "A two-stage constellation partition algorithm for reduced complexity MIMO-MLD systems," IEEE 35th Conf. Local Comput. Networks, pp. 745-748, 2010.
[22] H. M. Carrascol, J. R. Fonollosa and J. A. Delgado-Penin, "Performance analysis of space-time block coding with adaptive modulation," Proc. 15th IEEE Int. Symp. Personal, Indoor Mobile Radio Commun.,pp. 493-497, 2004.
[23] W. Li, H. Zhang, and T. A. Gulliver, "Capacity and error probability analysis of orthogonal space-time block codes over correlated Nakagami fading channels," IEEE Trans. Wireless Commun., vol. 5, no. 9, pp. 2408-2412, 2006.
[24] H. Zhang, and T. A. Gulliver, "Capacity and error probability analysis for orthogonal space time block codes over fading channels," IEEE Trans. Wireless Commun., vol. 4, no. 2, pp. 808-819, Mar. 2005.
[25] K. S. Ahn, R. W. Heath, and H. K. Baik, "Shannon capacity and symbol error rate of space-time block codes in MIMO Rayleigh channels with channel estimation error," IEEE Trans. Wireless Commun., vol. 7, no. 1, pp. 324-333, Jan. 2008.
[26] G. Li, and C. Wang, "Performance analysis of space-time block codes with general rectangular QAM in MIMO fading channels with channel estimation error," Proc. 11th IEEE Singapore Int. Conf. Commun. Syst., pp. 1405-1409, 2008.
[27] D. M. Shin, H. J. Lee, and K. Yang, "Closed-form expressions of the V-BLAST performance over quadrature-amplitude modulation," Proc. 69th IEEE Veh. Technology Conf., pp. 1-5, 2009.
[28] C. Shen, Y. Zhu, S. Zhou, and J. Jiang, "On the performance of V-BLAST with zero-forcing successive interference cancellation receiver," Proc. IEEE Global Telecommun. Conf., pp. 2818-2822, 2004.