Title :
Multicanonical Simulation of Communication Systems
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC
Abstract :
In this paper, we introduce the multicanonical (MUC) sampling technique to efficiently simulate the performance of communication systems. MUC can be considered as a unique importance sampling technique that employs an iterative procedure to converge to the optimal biasing of the distribution of the system random sources. As one example, multicanonical sampling is applied to the performance simulation of optimum combining of multiple antennas in the presence of cochannel interference in fading channels
Keywords :
importance sampling; iterative methods; cochannel interference; communication systems; fading channels; importance sampling technique; iterative procedure; multicanonical sampling technique; multicanonical simulation; multiple antennas; optimal biasing; system random source; Computational modeling; Computer simulation; Fading; Interchannel interference; Monte Carlo methods; Optical fiber communication; Probability density function; Random variables; Sampling methods; Tail;
Conference_Titel :
Radio and Wireless Symposium, 2007 IEEE
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0445-2
Electronic_ISBN :
1-4244-0445-2
DOI :
10.1109/RWS.2007.351803
