Title :
An efficient multiuser detection algorithm for direct sequence code division multiple access by using neural networks
Author_Institution :
United Technol. Res. Center, East Hartford, CT, USA
Abstract :
Neural network based adaptive schemes for performing multiuser detection in a direct sequence spread-spectrum code division multiple access communication system are investigated. Simulation and analysis provide the good basis of understanding the advantage and disadvantage between conventional techniques and neural networks in CDMA scope. The simulation results demonstrate the great benefits of the proposed neural network receivers
Keywords :
adaptive signal detection; backpropagation; code division multiple access; multiuser channels; neural nets; optimisation; radio receivers; spread spectrum communication; Alopex algorithm; DS-CDMA; DS-SS; adaptive schemes; backpropagation; direct sequence code division multiple access; direct sequence spread-spectrum communication; efficient multiuser detection algorithm; neural network receivers; optimization problem; simulation; simulation results; Backpropagation; Bandwidth; Change detection algorithms; Detectors; Direct-sequence code-division multiple access; Interference; Multiaccess communication; Multiuser detection; Neural networks; Spread spectrum communication;
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
DOI :
10.1109/ICC.2001.936268
