Title :
Unifying performance analysis of linear MIMO receivers in correlated Rayleigh fading environments
Author :
Kiessling, Mario ; Speidel, Joachim
Author_Institution :
Stuttgart Univ., Germany
fDate :
30 Aug.-2 Sept. 2004
Abstract :
We present a novel approach for analyzing the SER of linear MIMO zero-forcing and minimum mean squared error receivers in correlated Rayleigh fading environments with fading correlation at the transmitting and, for the first time, receiving antenna array. Specifically, we make use of certain complex Gaussian integrals for calculating the moment generating function of the subchannel SNR statistics. Using a well-known integral representation of the Gaussian Q function, it is then shown that the SER can be expressed in terms of a single integral. The novel approach is exact, non-asymptotic in the number of antenna elements, and unifies and complements existing partial solutions, thereby comprising the practically important case of multiuser smart antenna applications with optimum combining algorithm at the base station. Moreover, we present concise asymptotical expressions for the high SNR regime that allow for a simple assessment of the influence of fading correlation on the SER performance.
Keywords :
Gaussian distribution; MIMO systems; Rayleigh channels; adaptive antenna arrays; correlation methods; error statistics; integral equations; least mean squares methods; multiuser channels; radio receivers; receiving antennas; transmitting antennas; Gaussian Q function; SER; base station; complex Gaussian integrals; correlated Rayleigh fading environments; fading correlation; linear MIMO receivers; minimum mean squared error; moment generating function; multiuser smart antenna; optimum combining algorithm; performance analysis; receiving antenna array; subchannel SNR statistics; transmitting antenna array; zero-forcing receivers; AWGN; Additive white noise; Bit error rate; Linear matrix inequalities; MIMO; Matrix decomposition; Performance analysis; Rayleigh channels; Signal to noise ratio; Vectors;
Conference_Titel :
Spread Spectrum Techniques and Applications, 2004 IEEE Eighth International Symposium on
Print_ISBN :
0-7803-8408-3
DOI :
10.1109/ISSSTA.2004.1371777