Optimization of Channel Capacity in MIMO Systems

  • Pham Van-Su (School of Engineering, Information and Communications University(ICU)) ;
  • Le Minh Tuan (School of Engineering, Information and Communications University(ICU)) ;
  • Yoon Giwan (Information and Communications University (ICU))
  • 발행 : 2005.12.01

초록

In this paper, a new method to get the optimum channel capacity of a Multiple-Input Multiple­Output (MIMO) system is presented. The proposed method exploits the diagonal structure of channel matrix to maximize the channel capacity. The diagonal format of the channel matrix is formed by multiplying the transmitted signal with the pre-compensated channel PCC) matrix. Numerical simulations show that the proposed method exploiting the diagonal structure of channel matrix could significantly increase the system capacity compared with the system without applying the diagonal structure of channel matrix.

키워드

참고문헌

  1. P. F. Driessen and G. J. Foschini, 'On the Capacity Formula for Multiple-Input Multiple-Output Wireless Channels', IEEE Trans. On Comm., vol.47, No.2, Feb. 1999, pp.173-176 https://doi.org/10.1109/26.752119
  2. J. Altuna, B. Mulgrew and J. M. Zabalegui, 'Semi-Blind Equalization for Multiple-Input Multiple-Output MC-CDMA', IEE 3G Mobile Communication Technologies, Mar. 26-28, 2001, pp.387-391
  3. Helmut Bolcskei and Arogyaswami J. Paulraj, 'Multiple-Input Multiple-Output (MIMO) Wireless Systems', The Communications Handbook, 2nd ed., J. Gibon, Ed
  4. A. F. Naguib et al., 'A Space-time Coding modem for High Data Rate Wireless Communications', IEEE JSAC, vol.16, No.8, Oct. 1998, pp.1459-1478
  5. W. K. Wong, R. D. Murch and K. B. Letaief, 'Optimizing Time and Space MIMO antenna system for frequency selective fading channels', IEEE JSAC, vol. 19, No.7, Jul. 2001, pp.1395-1407
  6. G. D. Golden et al., 'Detection Algorithm and Initial Laboratory Results using V-BLAST Space-Time Communication Architecture', IEE Elect. Lett., vol. 35, no. 1, Jan. 7, 1999, pp. 14-16 https://doi.org/10.1049/el:19990058