Title :
Analysis of K-transmit dual-receive diversity with cochannel interferers over a Rayleigh fading channel
Author :
Dighe, Parag A. ; Mallik, Ranjan K. ; Jamuar, Sudhanshu S.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, India
fDate :
6/23/1905 12:00:00 AM
Abstract :
We consider a K-transmit dual-receive diversity communication system employing K antennas for transmission and two antennas for reception. The desired signal is corrupted by N interfering sources apart from additive white Gaussian noise. The channel is Rayleigh fading. As a result, the channel matrix for the desired signal and the propagation vectors of the interferers have zero-mean complex Gaussian entries; the entries are assumed to be independent and identically distributed. The complex receive weight vector used for combining the received signals is chosen so as to maximize the output signal-to-interference-plus-noise ratio (SINR). From the statistics of the channel matrix and the propagation vectors of the interferers, we derive a closed-form expression for the probability density function (p.d.f.) of the maximum output SINR. This p.d.f. can be used to obtain the symbol error probability for various digital modulation schemes
Keywords :
Gaussian processes; Rayleigh channels; cochannel interference; diversity reception; error statistics; matrix algebra; probability; receiving antennas; transmitting antennas; PDF; Rayleigh fading channel; channel matrix; closed-form expression; cochannel interferers; complex receive weight vector; digital modulation; dual-receive diversity; independent identically distributed entries; maximum output SINR; output signal-to-interference-plus-noise ratio; probability density function; propagation vectors; received signals; receiving antennas; symbol error probability; transmitting antennas; zero-mean complex Gaussian entries; Additive white noise; Antennas and propagation; Closed-form solution; Diversity methods; Diversity reception; Probability density function; Rayleigh channels; Signal to noise ratio; Statistical distributions; Transmitting antennas;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965680