Advertisement

Review of Wireless Communications and MIMO Techniques

  • Y.-W. Peter Hong
  • Wan-Jen Huang
  • C.-C. Jay Kuo
Chapter

Abstract

To facilitate the understanding of the cooperative strategies introduced throughout this book, we provide in this chapter a brief review of wireless communications and MIMO techniques. First, we introduce some basic characteristics of the wireless environment, including path loss, shadowing, and multipath fading, and describe popular diversity techniques that are often used to combat these channel effects. Then, we review the fundamental limits of Gaussian AWGN channels, fading channels, and multiple-input multiple-output (MIMO) channels. Finally, we conclude with a discussion on the diversity-and-multiplexing tradeoff (DMT) for MIMO systems. More detailed discussions on these topics can be found in [11] and [37].

Keywords

Fading Channel Outage Probability MIMO Channel Antenna Selection Ergodic Capacity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Alamouti, S.M.: A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications 16(8), 1451–1458(1998)CrossRefGoogle Scholar
  2. 2.
    Bernhardt, R.: Macroscopic diversity in frequency reuse radio systems. IEEE Journal on Selected Areas in Communications 5(5), 862–870(1999)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Beverage, H.H., Peterson, H.O.: Diversity receiving system of RCA communications, inc., for radiotelegraphy. In: Proceedings of IRE,pp.531–561(1931)Google Scholar
  4. 4.
    Brennan, D.: Linear diversity combining techniques. Proceddings of the IEEE 91(2), 331–356(2003)CrossRefMathSciNetGoogle Scholar
  5. 5.
    Brennan, D.G.: On the maximal signal-to-noise ratio realizable from several noisy signals. In:Proceedings ofIRE,p.1530(1955)Google Scholar
  6. 6.
    Co, T.M., Thomas, J.A.ver:Elements of Information Theory, 2edn. Wiley-Interscience (2006)Google Scholar
  7. 7.
    Cox, D., Murray, R., Norris, A.: 800 MHz attenuation measured in and around suburban houses. AT&T Bell Laboratory Technical Journal 63(6), 921–954(1984)Google Scholar
  8. 8.
    Duman, T.M., Ghrayeb, A.: Coding for MIMO Communication Systems, John-Wiley & Sons Ltd.(2007)Google Scholar
  9. 9.
    Erceg, V., Greenstein, L., Tjandra, S., Parkoff, S., Gupta, A., Kulic, B., Julius, A.A., Bianchi, R.: An empirically based path loss model for wireless channels in suburban environments. IEEE Journal on Selected Areas in Communications 17(7), 1205–1211 (1999)CrossRefGoogle Scholar
  10. 10.
    Foschini, G.J.: Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell System Technical Journal 1, 44–59(1996)Google Scholar
  11. 11.
    Goldsmith,A.:Wireless Communications. Cambridge University Press(2005)Google Scholar
  12. 12.
    Goldsmith, A.J., Varaiya, P.P.: Capacity of fading channels with channel side information. IEEE Transactions on Information Theory 43(6), 1986–1992(1997)MATHCrossRefMathSciNetGoogle Scholar
  13. 13.
    Hassibi, B., Hochwald, B.: High-rate codes that are linear in space and time. IEEE Transactions on Information Theory 48(7), 1804–1824(2002)MATHCrossRefMathSciNetGoogle Scholar
  14. 14.
    Jafar, S.A., Goldsmith, A.: On optimality of beamforming for multiple antenna sys-tems. In:Proc. onIEEEInternationalSymposium onInformationTheory(ISIT),pp. 321(2001)Google Scholar
  15. 15.
    Jafarkhani, H.: A quasi-orthogonal space-time block code. IEEE Transactions on Communications 49(1), 1–4(2001)MATHCrossRefGoogle Scholar
  16. 16.
    Jakes,W.C.:MicrowaveMobileCommunications,2 edn. IEEEPress(1994)Google Scholar
  17. 17.
    Love, D.J., Heath, Jr., R.W., Strohmer, T.: Grassmannian beamforming for multiple-input multiple-output wireless systems. IEEE Transactions on Information Theory 49(10), 2735–2747(2003)Google Scholar
  18. 18.
    Mukkavilli, K., Sabharwal, A., Erkip, E., Aazhang, B.: On beamforming with finite rate feedback in multiple-antenna systems. IEEE Transactions on Information Theory 49(10), 2562–2579(2003)CrossRefMathSciNetGoogle Scholar
  19. 19.
    Nakagami,N.:The m-distribution, ageneral formula for intensity distribution of rapid fading. Statistical Methods in Radio Wave Propagation, Edited by W. G. Hoffman, Oxford, England(1960)Google Scholar
  20. 20.
    Owen, F., Pudney, C.: Radio propagation for digital cordless telephones at 1700 MHz and 900 MHz. IEEE Electronics Letters 25(1), 52–53(1989)Google Scholar
  21. 21.
    Parsons,D.:The Mobile Radio Propagation Channel. Willey(1994)Google Scholar
  22. 22.
    Peterson, H.O., Beverage, H.H., Moore, J.: Diversity telephone receiving system of RCA communications, inc. In: Proceedings ofIRE,pp.562–584(1931)Google Scholar
  23. 23.
    Rappaport,T.:Wireless Communications, 2nd edn. Prentice-Hall(2001)Google Scholar
  24. 24.
    Rice, S.: Mathematical analysis of random noise. AT&T Bell Laboratory Technical Journal 23(2), 282–333(1944)MATHMathSciNetGoogle Scholar
  25. 25.
    Roh, J.C., Rao, B.D.:Multiple antenna channels with partial channel state information at the transmitter. IEEE Transactions on Wireless Communications 3(2), 677–688 (2004)Google Scholar
  26. 26.
    Roh, J.C., Rao, B.D.: Transmit beamforming in multiple-antenna systems with finite ratefeedback: aVQ-based approach. IEEE Transactions onInformationTheory 52(3), 1101–1112(2006)CrossRefMathSciNetGoogle Scholar
  27. 27.
    Rustako,,A.J.,Amiray,N.,Owens,G.,Roman,R.Jr.:Radio propagation at microwave frequencies for line-of-sight microcellular mobile and personal communications. IEEE Transactions on Vehicular Technology 40(1), 203– 210(1991)Google Scholar
  28. 28.
    Sanayei, S., Nosratinia, A.: Antenna selection in MIMO systems. IEEE Communications Magazine 42(10), 68–73(2004)CrossRefGoogle Scholar
  29. 29.
    Sanayei, S., Noatinia, A.sr:Asymptotic capacity analysis of transmit antenna selection. In: Proc. on IEEE International Symposium on Information Theory (ISIT), pp. 241 (2004)Google Scholar
  30. 30.
    Seidel, S., Rappaport, T., Jain, S., Lord, M., Singh, R.: Path loss, scattering, and multipath delay statistics in four European cities for digital cellular and microcellular radiotelephone. IEEE Transactions on Vehicular Technology 40(4), 721–730(1991)CrossRefGoogle Scholar
  31. 31.
    Shannon, C.E.: A mathematical theory of communication. Bell System Technical Journal 27(3), 379–423, 623–656(1948)MATHMathSciNetGoogle Scholar
  32. 32.
    Tarokh, V., Jafarkhani, H., Calderbank, A.: Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory 45(5), 1456–1467(1999)MATHCrossRefMathSciNetGoogle Scholar
  33. 33.
    Tarokh, V., Seshadri, N., Calderbank, A.: Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Transactions on Information Theory 44(2), 744–765(1999)CrossRefMathSciNetGoogle Scholar
  34. 34.
    . Telatar, ˙I.E.: Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications 10(6), 585–595(1999)Google Scholar
  35. 35.
    de Toledo, A.F., Turkmani, A.M.D.: Propagation into and within buildings at 900, 1800, and 2300 MHz. In: Proc. on IEEE Vehicular Technology Conference (VTC), pp. 633–636 (1992)Google Scholar
  36. 36.
    de Toledo, A.F.,Turkmani, A.M.D., Parsons, J.D.:Estimating coverage of radio transmission into and within buildings at 900, 1800, and 2300 MHz. IEEE Personal Communications Magazine 5(2), pp. 40–47 (1998)Google Scholar
  37. 37.
    Tse, D., Viswanath, P.: Fundamentals of Wireless Communication. Cambridge University Press (2005)Google Scholar
  38. 38.
    Xia, P., Giannakis, G.B.: Design and analysis of transmit-beamforming based on limited-rate feedback. IEEE Transactions on Signal Processing 54(5), 1853–1863 (2006)Google Scholar
  39. 39.
    Yan, Q.,Blum ,R.:Improved space-time convolutional codes for quasi-static slow fading channels. IEEE Transactions on Wireless Communications 1(4), 563–571 (2002)Google Scholar
  40. 40.
    Zheng, L., Tse, D.N.C.: Diversity and multiplexing: A fundamental tradeoff in multiple-antenna channels. IEEE Transactions on Information Theory 49(5), 1073– 1096(2003)Google Scholar
  41. 41.
    Zhou, S.,Giannakis, G.:Optimal transmittereigen-beamforming and space-timeblock coding based on channel mean feedback. IEEE Transactions on Signal Processing 50(10), 2599–2613(2002)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Y.-W. Peter Hong
    • 1
  • Wan-Jen Huang
    • 2
  • C.-C. Jay Kuo
    • 3
  1. 1.Department of Electrical EngineeringNational Tsing Hua UniversityHsinchuTaiwan R.O.C.
  2. 2.Institute of Comm. Engin.National Sun Yat-Sen UniversityKaohsiungTaiwan R.O.C.
  3. 3.Viterbi School of EngineeringUniversity of Southern CaliforniaLos AngelesUSA

Personalised recommendations