Abstract
A kind of adaptive Chaotic Stimulated Annealing (CSA) network approach used in the uplink power control of asynchronous Code Division Multiple Access (CDMA) mobile communication system is proposed in this study. The particular influence of near-far effect can be overcome by utilizing the global optimal searching function of CSA method, and the Multiple Access Interference (MAI) in certain cell can be conquered by introducing adaptive multiuser interference cancellation network in corresponding close loop control strategy. Computer simulations give the comparison results between proposed approach and conventional method with heterogeneous Signal-to- Interference Ratio (SIR) threshold decision. It shows that this new approach can achieve higher channel capability and lower average outrage probability with some small increase of iteration steps, which can improve the performance of CDMA mobile communication system effectively.
Highlights
In the code division multiple access (CDMA) mobile communication system, near-far effect is the most important factor that induces the unbalanced power received by the base station from different users within a cell
To overcome the shortcoming stated above, here we propose a novel approach of uplink power control utilizing the adaptive chaotic simulated annealing network
Computer Simulation Results heterogeneous signal-to-interference ratio (SIR) threshold decision [6], and its performance is much closer to that of the ideal power control circumstance, To compare the performances of the proposed adaptive chaotic simulated annealing (CSA) network with those of the method using heterogeneous SIR threshold decision method in [6], we give out some computer simulation results
Summary
In the code division multiple access (CDMA) mobile communication system, near-far effect is the most important factor that induces the unbalanced power received by the base station from different users within a cell. Power control is the most expedient means to overcome the near-far effect It includes two aspects as uplink power controls and downlink power controls, respectively. Uplink power control algorithm with adaptive SIR thresholds [5] and optimum power control with heterogeneous thresholds [6] are widely discussed. These methods operate successfully under wireless communication circumstances, the problem of multiple access interference (MAI) and the speed of control required could not be solved successfully. The real application scope of these methods is bounded in this way
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