Title :
A study on the statistical modeling of fading and its effects on system performance using SIRP and SDP methods
Author :
Cheng-An Yang ; Kung Yao ; Biglieri, Ezio
Author_Institution :
Electr. Eng. Dept., UCLA, Los Angeles, CA, USA
Abstract :
Many statistical models (mainly due to physical propagation studies and field measurements) have been proposed to characterize the statistics of the NLOS flat-fading wireless communication channel. There appears to have no known statistical theory on the formation of many of these fading envelope statistics. We offer the statistical modeling of fading envelope statistics under the NLOS assumption based on the SIRP representation. In practice, these channel statistics cannot be modeled with certainty. We advocated the use of moment-bound theory to obtain bounds on the system performance metrics. In this paper, we combine the theory of moment bounds with that of SIRP, and the use of the SDP optimization method to show how sharper bounds of the error rate and ergodic channel capacity of a communication system can be computed.
Keywords :
fading channels; mathematical programming; random processes; statistical analysis; NLOS flat-fading wireless communication channel; SDP method; SIRP method; SIRP representation; ergodic channel capacity; error rate; fading envelope statistics; moment bounds theory; semi-definite programming; spherically invariant random process; statistical modeling; system performance; Binary phase shift keying; Bit error rate; Rayleigh channels; Signal to noise ratio; Transforms; Wireless communication; Fading distribution; Moment bound theory; Semi-definite programming; Spherically-invariant random process; performance bounds of BPSK systems;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854410