Abstract
In Code Division Multiple access (CDMA) communications systems multiple access interference limits the capacity systems using conventional single user correlation or matched filter receivers. This paper considers multiuser detection from a combinatorial optimization viewpoint by implementing the Genetic Algorithm (GA) on the reverse link of an IS-95 CDMA system. Experimental results suggest that a GA multiuser detector provides an attractive alternative to other types of multi-user detectors with regard to the rate of convergence and improved bit error rates.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1540-1544 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 2 |
| DOIs | |
| State | Published - Jan 1 2001 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Networks and Communications
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Use of the genetic algorithm to improve bit error rates in CDMA wireless communication systems. / Kitabi, A.; Jenkins, William Kenneth.
In: Conference Record of the Asilomar Conference on Signals, Systems and Computers, Vol. 2, 01.01.2001, p. 1540-1544.Research output: Contribution to journal › Article
TY - JOUR
T1 - Use of the genetic algorithm to improve bit error rates in CDMA wireless communication systems
AU - Kitabi, A.
AU - Jenkins, William Kenneth
PY - 2001/1/1
Y1 - 2001/1/1
N2 - In Code Division Multiple access (CDMA) communications systems multiple access interference limits the capacity systems using conventional single user correlation or matched filter receivers. This paper considers multiuser detection from a combinatorial optimization viewpoint by implementing the Genetic Algorithm (GA) on the reverse link of an IS-95 CDMA system. Experimental results suggest that a GA multiuser detector provides an attractive alternative to other types of multi-user detectors with regard to the rate of convergence and improved bit error rates.
AB - In Code Division Multiple access (CDMA) communications systems multiple access interference limits the capacity systems using conventional single user correlation or matched filter receivers. This paper considers multiuser detection from a combinatorial optimization viewpoint by implementing the Genetic Algorithm (GA) on the reverse link of an IS-95 CDMA system. Experimental results suggest that a GA multiuser detector provides an attractive alternative to other types of multi-user detectors with regard to the rate of convergence and improved bit error rates.
UR - http://www.scopus.com/inward/record.url?scp=0035575285&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035575285&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2001.987745
DO - 10.1109/ACSSC.2001.987745
M3 - Article
AN - SCOPUS:0035575285
VL - 2
SP - 1540
EP - 1544
JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers
JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers
SN - 1058-6393
ER -