Title :
Iterative multiuser detection with graphical modeling
Author :
Eckford, A.W. ; Pasupathy, S.
Author_Institution :
Edward S. Rogers Sr. Dept. of ECE, Toronto Univ., Ont., Canada
Abstract :
In this paper, we give a graphical interpretation of the multiuser detection problem for interference limited channels, using generalized inference techniques on graphs. One impediment to the implementation of multiuser detection techniques in practical systems (such as in DS-CDMA) has been the difficulty of dealing with the large number of random variables present in such systems. Graphical techniques, which have been previously applied to inference problems in many random variables, can give new insight into the handling of this problem. The main focus of our work is on asynchronous channels, which may be effectively modeled with a Markov chain model. A new implementation of the EM (expectation maximization) algorithm over factor graphs is introduced. Modifications to the EM algorithm to implement approximate inference with reduced complexity are discussed
Keywords :
Markov processes; code division multiple access; computational complexity; graph theory; inference mechanisms; iterative methods; multiuser channels; radiofrequency interference; signal detection; spread spectrum communication; DS-CDMA; EM algorithm; Markov chain model; approximate inference; asynchronous channels; expectation maximization algorithm; factor graphs; generalized inference techniques; graphical modeling; interference limited channels; iterative multiuser detection; random variables; Graphical models; Inference algorithms; Interference; Iterative algorithms; Iterative methods; Maximum likelihood detection; Multiaccess communication; Multiuser detection; Random variables; Sum product algorithm;
Conference_Titel :
Personal Wireless Communications, 2000 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
0-7803-5893-7
DOI :
10.1109/ICPWC.2000.905860