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Wireless Personal Communications

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04-02-2017

A Novel Low-Complex Antenna Selection Scheme for Beyond 4G (B4G) Systems

Authors: M. Arthi, P. Arulmozhivarman

Published in: Wireless Personal Communications | Issue 3/2017

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Abstract

Multi input multi output (MIMO) based transmission modes are very popular in 4G and beyond wireless standards. It offers high quality services at the cost of increased hardware and signal processing complexity. Antenna selection is one of the suitable solutions to overcome the limitations of MIMO scheme. Antenna selection schemes are becoming very popular in the recent wireless techniques like massive MIMO, cognitive radio, multi-hop relay networks (MHR) and wireless local area networks. Instead of using all the available antennas for transmission and reception, antenna selection schemes select good antennas based on the channel state information (CSI). To attain the full benefits of transmitter and joint antenna selection schemes, accurate CSI is required at the transmitter side. The non-zero feedback delay and time varying channel conditions, make the CSI available at the transmitter outdated, which also affects the antenna selection process. In this work, we have derived the closed form average symbol error rate (SER) expression of M-ary phase shift keying (PSK) modulation, for three different antenna selection schemes, by considering the effect of delayed CSI. All these derived expressions are the function of correlation between CSI at the receiver and delayed CSI at the transmitter. The simulation results show that the antenna selection gain decreases with the decrease in correlation. It is also observed that scheme 1 based antenna selection is optimal under delayed CSI conditions, for different constellations and more suited for future wireless standards.

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Cho, Y. S., Kim, J., Yang, W. Y., & Kang, C. G. (2010). MIMO-OFDM wireless communications with MATLAB. New York: Wiley.CrossRef

Akyildiz, I. F., Gutierrez-Estevez, D. M., Balakrishnan, R., & Chavarria-Reyes, E. (2014). LTE-advanced and the evolution to beyond 4G (B4G) systems. Physical Communication, 10, 31–60.CrossRef

LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures (3GPP TS 36.213 version 8.4.0 Release 8), 2008.

LTE; Feasibility study for Further Advancements for E-UTRA (LTE-Advanced), (3GPP TR 36.912 version 10.0.0 Release 10), 2011.

Sesia, S., Toufik, I., & Baker, M. (2009). LTE—The UMTS long term evolution from theory to practice. West Sussex: Wiley.CrossRef

Hu, B. B., Liu, Y. A., Gang, X. I. E., Gao, J. C., & Yang, Y. L. (2014). Energy efficiency of massive MIMO wireless communication systems with antenna selection. The Journal of China Universities of Posts and Telecommunications, 21(6), 1–8.CrossRef

Yuksel, M., & Erkip, E. (2007). Multiple-antenna cooperative wireless systems: A diversity–multiplexing tradeoff perspective. IEEE Transactions on Information Theory, 53(10), 3371–3393.MathSciNetCrossRefMATH

Fan, Y., & Thompson, J. (2007). MIMO configurations for relay channels: Theory and practice. IEEE Transactions on Wireless Communications, 6(5), 1774–1786.CrossRef

Muñoz-Medina, O., Vidal, J., & Agustín, A. (2007). Linear transceiver design in nonregenerative relays with channel state information. IEEE Transactions on Signal Processing, 55(6), 2593–2604.MathSciNetCrossRef

10.

Tang, X., & Hua, Y. (2007). Optimal design of non-regenerative MIMO wireless relays. IEEE Transactions on Wireless Communications, 6(4), 1398–1407.MathSciNetCrossRef

11.

Osseiran, A., Hardouin, E., Gouraud, A., Boldi, M., Cosovic, I., Gosse, K., et al. (2009). The road to IMT-advanced communication systems: State-of-the-art and innovation areas addressed by the WINNER + project. IEEE Communications Magazine, 47(6), 38–47.CrossRef

12.

Torabi, M. (2008). Antenna selection for MIMO-OFDM systems. Signal Processing, 88(10), 2431–2441.CrossRefMATH

13.

Nagaraj, S., & Xiao, J. (2010). Best antenna selection for coded SIMO–OFDM. Signal Processing, 90(1), 391–394.CrossRef

14.

Naeem, M., & Lee, D. C. (2011). Low-complexity joint transmit and receive antenna selection for MIMO systems. Engineering Applications of Artificial Intelligence, 24(6), 1046–1051.CrossRef

15.

Lu, H. Y. (2012). Particle swarm optimization assisted joint transmit/receive antenna combining for multiple relays in cooperative MIMO systems. Applied Soft Computing, 12(7), 1865–1874.CrossRef

16.

Katiyar, H., & Bhattacharjee, R. (2012). On the performance of decode-and-forward relaying with multi-antenna destination. AEU-International Journal of Electronics and Communications, 66(1), 1–6.CrossRef

17.

Gorokhov, A., Gore, D., & Paulraj, A. J. (2003). Receive antenna selection for MIMO spatial multiplexing: Theory and algorithms. IEEE Transactions on Signal Processing, 51(11), 2796–2807.MathSciNetCrossRefMATH

18.

Gore, D., & Paulraj, A. J. (2002). MIMO antenna subset selection with space-time coding. IEEE Transactions on Signal Processing, 50(10), 2580–2588.CrossRef

19.

Lu, H. Y., & Fang, W. H. (2007). Joint transmit/receive antenna selection in MIMO systems based on the priority-based genetic algorithm. IEEE Antennas and Wireless Propagation Letters, 6, 588–591.CrossRef

20.

Sanayei, S., & Nosratinia, A. (2007). Capacity of MIMO channels with antenna selection. IEEE Transactions on Information Theory, 53(11), 4356–4362.MathSciNetCrossRefMATH

21.

Gharavi-Alkhansari, M., & Gershman, A. B. (2004). Fast antenna subset selection in MIMO systems. IEEE Transactions on Signal Processing, 52(2), 339–347.MathSciNetCrossRef

22.

Molisch, A. F., Win, M. Z., Choi, Y. S., & Winters, J. H. (2005). Capacity of MIMO systems with antenna selection. IEEE Transactions on Wireless Communications, 4(4), 1759–1772.CrossRef

23.

Chen, Z., Collings, I. B., Zhou, Z., & Vucetic, B. (2009). Transmit antenna selection schemes with reduced feedback rate. IEEE Transactions on Wireless Communications, 8(2), 1006–1016.CrossRef

24.

Choi, Y. S., Molisch, A. F., Win, M. Z., & Winters, J. H. (2003). Fast algorithms for antenna selection in MIMO systems. In Vehicular technology conference, VTC 2003-Fall. (Vol. 3, pp. 1733–1737).

25.

You, C., Hwang, I., Kim, Y., & Tarokh, V. (2009). Dual antenna selection algorithms and feedback strategies with reduced complexity for multiple-input multiple-output systems. Microwaves, Antennas and Propagation, IET, 3(6), 906–916.CrossRef

26.

Chen, Z., Yuan, J., Vucetic, B., & Zhou, Z. (2003). Performance of Alamouti scheme with transmit antenna selection. Electronics Letters, 39(23), 1666–1668.CrossRef

27.

Chen, Z., Vucetic, B., & Yuan, J. (2003). Space-time trellis codes with transmit antenna selection. Electronics Letters, 39(11), 854–855.CrossRef

28.

Badic, B., Fuxjäger, P., & Weinrichter, H. (2004). Performance of quasi-orthogonal space-time code with antenna selection. Electronics Letters, 40(20), 1282–1284.CrossRef

29.

Fan, B., Sun, W., & Shen, D. (2006). Performance analysis of orthogonal space-time block coding with reduced-complexity antenna selection. In Wireless, mobile and multimedia networks, 2006 IET international conference (pp. 1–4).

30.

Gorokhov, A. (2002). Antenna selection algorithms for MEA transmission systems. In IEEE international conference acoustics, speech, and signal processing (ICASSP) (Vol. 3, pp. 2857–2860).

31.

Zhang, H., Molisch, A. F., & Zhang, J. (2006). Applying antenna selection in WLANs for achieving broadband multimedia communications. IEEE Transactions on Broadcasting, 52(4), 475–482.CrossRef

32.

Lee, D., Nooshabadi, S., & Kim, K. (2010). Dual-mode SM/STBC system with antenna subset selection employing ML detection. AEU-International Journal of Electronics and Communications, 64(12), 1128–1136.CrossRef

33.

Lee, D., Nooshabadi, S., & Kim, K. (2012). Joint antenna subset selection for spatial multiplexing systems based on statistical and instantaneous selection criteria. AEU-International Journal of Electronics and Communications, 66(9), 715–720.CrossRef

34.

Jensen, M., & Morris, M. L. (2005). Efficient capacity-based antenna selection for MIMO systems. IEEE Transactions on Vehicular Technology, 54(1), 110–116.CrossRef

35.

Lei, C. A. O., Yang, H. W., Zhang, X., & Yang, D. C. (2009). Diversity order of decode-and-forward MIMO relaying with transmit antenna selection. The Journal of China Universities of Posts and Telecommunications, 16(5), 1–7.CrossRef

36.

Bletsas, A., Shin, H., & Win, M. Z. (2007). Cooperative communications with outage-optimal opportunistic relaying. IEEE Transactions on Wireless Communications, 6(9), 3450–3460.CrossRef

37.

Ding, Z., Gong, Y., Ratnarajah, T., & Cowan, C. F. (2008). On the performance of opportunistic cooperative wireless networks. IEEE Transactions on Communications, 56(8), 1236–1240.CrossRef

38.

Sandhu, S., Nabar, R. U., Gore, D., & Paulraj, A. (2000). Near-optimal selection of transmit antennas for a MIMO channel based on Shannon capacity. In Signals, systems and computers, 2000. Conference record of the thirty-fourth asilomar conference (Vol. 1, pp. 567–571).

39.

Yu, X. B., Yin, X., Liu, X. S., & Xu, D. Z. (2012). Performance of variable-power adaptive MQAM with transmit antenna selection and delayed feedback in Nakagami Fading channel. AEU-International Journal of Electronics and Communications, 66(4), 340–348.CrossRef

40.

Trivedi, Y. N., & Chaturvedi, A. K. (2011). Performance analysis of multiple input single output systems using transmit beamforming and antenna selection with delayed channel state information at the transmitter. Communications, IET, 5(6), 827–834.MathSciNetCrossRefMATH

41.

Zhang, X. J., Gong, Y., & Letaief, K. (2010). On the diversity gain in cooperative relaying channels with imperfect CSIT. IEEE Transactions on Communications, 58(4), 1273–1279.CrossRef

42.

Trivedi, Y. N. (2013). Performance analysis of OFDM system with transmit antenna selection using delayed feedback. AEU-International Journal of Electronics and Communications, 67(8), 671–675.CrossRef

43.

Eng, T., Kong, N., & Milstein, L. B. (1996). Comparison of diversity combining techniques for Rayleigh-fading channels. IEEE Transactions on Communications, 44(9), 1117–1129.CrossRef

44.

Chen, C. Y., Sezgin, A., Cioffi, J. M., & Paulraj, A. (2008). Antenna selection in space-time block coded systems: performance analysis and low-complexity algorithm. IEEE Transactions on Signal Processing, 56(7), 3303–3314.MathSciNetCrossRef

45.

Simon, M. K., & Alouini, M. S. (2000). Digital communication over fading channels. A unified approach to performance analysis. New York: Wiley.CrossRef

Title: A Novel Low-Complex Antenna Selection Scheme for Beyond 4G (B4G) Systems
Authors: M. Arthi
P. Arulmozhivarman
Publication date: 04-02-2017
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 3/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-017-4005-x

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