Analysis of maximal-ratio of transmitting/receiving antenna selection with perfect and partial channel information

Expand
  • Department of Electronics and Information Engineering, Huazhong University of Science and Technology

Published date: 05 Dec 2008

Abstract

To improve system performance and reduce the complexity and cost of receiver hardware, we investigated a new multiple-input multiple-output (MIMO) scheme combining maximal-ratio transmitting and receiver antenna selection (MRT/RAS). In this scheme, a single receiving antenna, which maximizes the signal-to-noise ratio (SNR) at the receiver, is selected for demodulation. The closed-form outage probability and the bit error rate (BER) of the MRT/RAS system are both presented. The simulation demonstrates that the MRT/RAS scheme can achieve a full diversity order as if all the receiving antennas were used. It is shown that the MRT/RAS scheme outperforms some more complex space-time codes of the same spectral efficiency. The analytical results are verified by simulation. In the end, we also analyze the MRT/RAS system based on partial channel information.

Cite this article

XIAO Xiao, ZHU Guangxi, ZHOU Lin, WANG Desheng, LI Li . Analysis of maximal-ratio of transmitting/receiving antenna selection with perfect and partial channel information[J]. Frontiers of Electrical and Electronic Engineering, 2008 , 3(4) : 411 -417 . DOI: 10.1007/s11460-008-0060-0

References

1. Telatar I E . Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 1999, 10(2): 585–595. doi:10.1002/ett.4460100604
2. Foschini G J, Gans M J . On limits of wireless communicationsin a fading environment when using multiple antennas. Wireless Personal Communications, 1998, 6(3): 311–335. doi:10.1023/A:1008889222784
3. Foschini G J . Layered space-time architecture for wireless communication in a fadingenvironment when using multi-element antennas. Bell Labs Technical Journal, 1996, 1(2): 41–59. doi:10.1002/bltj.2015
4. Winiters J H . The diversity gain of transmit diversity in wireless systems withRayleigh fading. IEEE Transactions on VehicularTechnology, 1998, 47(3): 119–123. doi:10.1109/25.661038
5. Weerackody V . Diversityfor the direct-sequence spread spectrum system using multiple transmitantennas. In: : Proceedings of IEEE InternationalConference on Communications, 1993, 3: 1775–1779
6. Alamouti S M . A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 1998, 16(8): 1451–1458. doi:10.1109/49.730453
7. Tarokh V, Seshadri N, Calderbank A R . Space-time codes for high data rate wireless communication:performance criterion and code construction. IEEE Transactions on Information Theory, 1998, 44(2): 744–765. doi:10.1109/18.661517
8. Lo T K Y . Maximum ratio transmission. IEEE Transactionson Communications, 1999,47(10): 1458–1461. doi:10.1109/26.795811
9. Vanganuru K, Annamalai A . Analysis of transmit diversityschemes: impact of fade distribution, spatial correlation and channelestimation errors. In: Proceedings of IEEEWireless Communications and Networking, 2003, 1: 247–251
10. Cavers J K . Single-user and multiuser adaptive maximal ratio transmission forrayleigh channels. IEEE Transactons onVehicular Technology, 2000, 49(6): 2043–2050. doi:10.1109/25.901862
11. Brennan D G . Linear diversity combining techniques. In: Proceedings of the IRE 1959, 47(6): 1075–1102. doi:10.1109/JRPROC.1959.287136
12. Kim S W, Ha D S, Reed J H . Minimum selection GSC and adaptive low-power Rake combiningscheme. In: Proceedings of the 2003 InternationalSymposium on Circuits and Systems (ISCAS'03), 2003, 4: 357–360
13. Yang H C . Exact performance analysis of minimum-selection generalized selectioncombining (GSC). In: Proceedings of IEEEInternational Conference on Communications, 2005, 2: 1152–1156
14. Thoen S, Van der Perre L, Gyselinckx B, et al.. Performance analysis of combined transmit-SC/receive-MRC. IEEE Transactions on Communications, 2001, 49(1): 5–8. doi:10.1109/26.898241
15. Jakes W C . Microwave Mobile Communications. Piscataway,NJ: IEEE Press, 1994
16. Eng T, Kong N, Milstein L B . Comparison of diversity combining techniques for Rayleigh-fadingchannels. IEEE Transactions on Communications, 1996, 44(9): 1117–1129. doi:10.1109/26.536918
17. Bjerke B A, Zvonar Z, Proakis J G . Antenna diversity combining schemes for WCDMA systemsin fading multipath channels. IEEE Transactionson Wireless Communications, 2004, 3(1): 97–106. doi:10.1109/TWC.2003.819046
18. Kang M, Alouini M S . Largest eigenvalue of complexwishart matrices and performance analysis of MIMO MRC systems. IEEE Journal on Selected Areas in Communications, 2003, 21(3): 418–426. doi:10.1109/JSAC.2003.809720
19. Dighe P A, Mallik R K, Jamuar S S . Analysis of transmit-receive diversity in Rayleigh fading. IEEE Transactions on Communications, 2003, 51(4): 694–703. doi:10.1109/TCOMM.2003.810871
20. Grant A J . Performance analysis of transmit beamforming. IEEE Transactions on Communications, 2005, 53(4): 738–744. doi:10.1109/TCOMM.2005.844968
21. David H A . Order Statistics. New York: Wiley, 1970
22. Proakis J G . Digital Communications, 4th ed. NewYork: McGraw-Hill, 2001
23. Chennakeshu S, Anderson J B . Error rates for Rayleighfading multichannel reception of MPSK signals. IEEE Transactions on Communications, 1995,43(234): 338–346. doi:10.1109/26.380052
24. Paulraj A, Nabar R, Gore D . Introduction to Space-Time Wireless Communications, 1sted. England: Cambridge Uiversity Press, 2003
25. Goeckel D L . Adaptive coding for time-varying channels using outdated fading estimates. IEEE Transactions on Communications, 1999, 47(6): 844–855. doi:10.1109/26.771341
26. Goldsmith A J, Chua S G . Variable-rate variable-powerMQAM for fading channels. IEEE Transactionson Communications, 1997, 45(10): 1218–1230. doi:10.1109/26.634685
27. Visotsky E, Madhow U . Space-time transmit precodingwith imperfect feedback. IEEE Transactionson Information Theory, 2001, 47(6): 2632–2639. doi:10.1109/18.945281
28. Wong K K, Cheng R S K, Letaief K B, et al.. Adaptive antennas at the mobile and base stationsin an OFDM/TDMA system. IEEE Transactionson Communications. 2001, 49(1): 195–206
29. Xia P F, Zhou S L, Giannakis G B . Adaptive MIMO OFDM based on partial channel state information. IEEE Transactions on Signal Processing, 2004, 52(1): 202–213. doi:10.1109/TSP.2003.819986
30. Hu Z P, Zhu G X, Xia Y, et al.. Multiuser subcarrier and bit allocation forMIMO-OFDM systems with perfect and partial channel information. In: Proceedings of IEEE Wireless Communicationsand Networking Conference, 2004, 2: 1188–1193
Outlines

/