MIMO Antenna Selections using CSI from Reciprocal Channel
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MIMO Antenna Selections using CSI from Reciprocal Channel

Authors: P. Uthansakul, K. Attakitmongkol, N. Promsuvana, M. Uthansakul

Abstract:

It is well known that the channel capacity of Multiple- Input-Multiple-Output (MIMO) system increases as the number of antenna pairs between transmitter and receiver increases but it suffers from multiple expensive RF chains. To reduce the cost of RF chains, Antenna Selection (AS) method can offer a good tradeoff between expense and performance. In a transmitting AS system, Channel State Information (CSI) feedback is necessarily required to choose the best subset of antennas in which the effects of delays and errors occurred in feedback channels are the most dominant factors degrading the performance of the AS method. This paper presents the concept of AS method using CSI from channel reciprocity instead of feedback method. Reciprocity technique can easily archive CSI by utilizing a reverse channel where the forward and reverse channels are symmetrically considered in time, frequency and location. In this work, the capacity performance of MIMO system when using AS method at transmitter with reciprocity channels is investigated by own developing Testbed. The obtained results show that reciprocity technique offers capacity close to a system with a perfect CSI and gains a higher capacity than a system without AS method from 0.9 to 2.2 bps/Hz at SNR 10 dB.

Keywords: Antenna Selection, Capacity, Channel, Measurement, MIMO, Reciprocity.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083865

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References:


[1] Murch R.D., Letaief K.B., Antenna systems for broadband wireless access, IEEE Communications Magazine 2002; 40(4) : 76-83.
[2] Wong K.K., Murch R.D., Letaief K.B., Performance enhancement of multiuser MIMO wireless communications systems, IEEE Transactions on Communications 2002; 50(12) : 1960-1970.
[3] Foschini G.J., Gans M.J., On limits of wireless communications in a fading environment when using multiple antennas, Wireless Personal Communications 1998; 6(3) : 311-335.
[4] Telatar I.E., Capacity of multiantenna Gaussian channels, AT&T Bell Laboratories, Tech. Memo. 1995.
[5] Kong N., Milstein L.B., Combined average SNR of a generalized diversity selection combining scheme, IEEE International Conference on Communications 1998; 3 : 1556-1560.
[6] Win M.Z., Winters J.H., Analysis of hybrid selection/maximalratio combining in Rayleigh fading, IEEE Transactions on Communications 1999; 47 : 1773-1776.
[7] Win M.Z., Winters J.H., Analysis of hybrid selection/maximal-ratio combing of diversity branches with unequal SNR in Rayleigh fading, IEEE Vehicular Technology Conference Proceedings 1999; 215-220.
[8] Win M. Z., Beaulieu N. C., Shepp L. A., Logan B. F., Winters J. H., On the SNR penalty of MPSK with hybrid selection/maximal ratio combining over IID Rayleigh fading channels, IEEE Transactions on Communications 2003; 51(6) : 1012-1023.
[9] Molisch A., Win M.Z., Winters J.H., Capacity of MIMO systems with antenna selection, IEEE International Conference on Communications 2001: 570-574.
[10] Nabar R., Gore D., Paulrai A., Optimal selection and use of transmit antennas in wireless systems, IEEE International Conference on Telecommunications 2000.
[11] Blum R.S., Winters J.H., On optimum MIMO with antenna selection, Communications Letters 2002; 6(8) : 322-324.
[12] Dai L., Sfar S., Letaief K.B., Optimal antenna selection based on capacity maximization for MIMO systems in correlated channels, IEEE Transactions on Communications 2006; 54(3) : 563-573.
[13] Heath R.W., Jr., Paulraj A.J., Antenna selection for spatial multiplexing systems based on minimum error rate, IEEE International Conference on Communications; 2276-2280.
[14] Ghrayeb A., Duman T.M., Performance analysis of MIMO systems with antenna selection over quasi-static fading channels, IEEE Transactions on Vehicular Technology 2003; 52(2) : 281-288.
[15] Yangyang Zhang, Gan Zheng, Chunlin Ji, Kai-Kit Wong, Edwards D.J., Tiejun Cui, Near-optimal joint antenna selection for amplify-andforward relay networks, IEEE Wireless Communications & Signal Processing 2009: 1-5
[16] Jiann G., Ching G., Larsson L. D., Modeling and evaluation of MIMO systems exploiting channel reciprocity in TDD mode, IEEE Vehicular Technology Conference Proceedings 2004; 6: 4265-4269.
[17] Tolli A., Codreanu M., Compensation of interference non-reciprocity in adaptive TDD MIMO-OFDM systems , International Symposium on Personal, Indoor, and Mobile Radio Communications 2004; 2: 859-863.
[18] Kim D., Torlak M., Rapid prototyping of a cost effective and flexible 4×4 mimo testbed, IEEE Sensor Array and Multichannel Signal Processing Workshop 2008: 5-8.
[19] Nishimori K., Kudo R., Honma N., Takatori Y., Ohta Atsushi., Okada K., Experimental evaluation using 16 × 16 multiuser MIMO testbed in an actual indoor scenario, IEEE Antennas and Propagation Society International Symposium 2008: 1-4.
[20] Azami F., Ghorssi A., Hemesi H., Mohammadi A., Abdipour A., Design and implementation of a flexible 4×4 MIMO testbed, , International Symposium on Telecommunications 2008: 268-272.
[21] Chen S., Jun C., Ohira T., Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, Information Science Reference 2009: 474-499.
[22] Uthansakul P., Bialkowski K., Bialkowski M., Postula A., Assessing an FPGA Implemented MIMO Testbed with the Use of Channel Emulator, International Conference on Microwaves, Radar and Wireless Communications 2006: 410-413.
[23] Onizawa T., Ohta A., Asai Y., Experiments on FPGA-Implemented Eigenbeam MIMO-OFDM With Transmit Antenna Selection, IEEE Transactions on Vehicular Technology 2009: 1281-1291.
[24] Heather MacLeod, Chris Loadman, Zhizhang (David) Chen, Experimental Studies of the 2.4-GHz ISM Wireless Indoor Channel, 3rd Annual Communication Networks and Services Research Conference, 2005, 63-68.