Performance of an adaptive PSO partial parallel interference canceller for CDMA communication systems
2010
In this paper, we propose an adaptive particle swarm optimization (APSO) based partial parallel interference cancellation scheme for direct-sequence code-decision multiple access (CDMA) communication system over frequency selective fading channels. However, the partial cancellation tries to reduce the cancellation error in parallel interference cancellation schemes due to the wrong interference estimations in the early stages. Thus, in order to reduce the computational complexity and improve the performacne of the CDMA system, particle swarm optimization (PSO), which has the ability of solution to complex combinatorial optimization problem, is employed in searching the optimal weight for multiple access interference cancellation. Experiments have been carried out on the method can improved on the multiuser detection in CDMA system, the simulation results show that APSO detector can achieve the global optimization in fast convergence rate, and also show that the proposed detector is obviously superior to convenentional receiver and multiuser detectors based on some optimum algorithm in terms of the multiple access interfere and the mitigation of near-far effect.
Keywords:
- Combinatorial optimization
- Multiuser detection
- Code division multiple access
- Single antenna interference cancellation
- Fading
- Spread spectrum
- Particle swarm optimization
- Computer science
- Control theory
- Global optimization
- Distributed computing
- Theoretical computer science
- Interference (wave propagation)
- Electronic engineering
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
21
References
6
Citations
NaN
KQI