Capacity maximizing algorithms for joint transmit-receive antenna selection

In this paper, we study and compare two algorithms for transmit/receive antenna selection in MIMO channels. Generally the only way to assure optimally in antenna selection is exhaustive search, however, thus constitutes an unacceptable burden on the receiver. We describe two suboptimal algorithms in this paper. First, a separable Tx/Rx successive selection, which has excellent performance but has complexity that grows as a quadratic function of the number of antennas. Second, an algorithm that intertwines transmit and receive side selection, which has linear complexity in the number of antennas, and only a small performance penalty compared with the first algorithm, we validate the results using simulations.

[1]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[2]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[3]  S. Sanayei,et al.  ASYMPTOTIC CAPACITY GAIN OF TRANSMIT ANTENNA SELECTION , 2003 .

[4]  Arogyaswami Paulraj,et al.  Receive antenna selection for MIMO spatial multiplexing: theory and algorithms , 2003, IEEE Trans. Signal Process..

[5]  Arogyaswami Paulraj,et al.  Receive antenna selection for MIMO flat-fading channels: theory and algorithms , 2003, IEEE Trans. Inf. Theory.

[6]  Aria Nosratinia,et al.  Antenna selection in MIMO systems , 2004, IEEE Communications Magazine.

[7]  A.F. Molisch,et al.  MIMO systems with antenna selection , 2004, IEEE Microwave Magazine.

[8]  Aria Nosratinia,et al.  Asymptotic capacity analysis of transmit antenna selection , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..