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Title |
A Fuzzy Supervised Learning Algorithm for Channel Optimization in CDMA Systems |
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Author |
Cheul-Woo Ro, Kyung-Min Kim, Kwang-Baek Kim, Kwang-Eui Lee |
| Citation |
Vol. 6 No. 11 pp. 202-207 |
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Abstract |
In this paper, a fuzzy supervised learning algorithm is proposed, which shows more improved learning time and convergence property than that of the conventional fuzzy neural network. First, we investigate the structure of physiological neurons of the nervous system and propose new neuron structure based on fuzzy logic. And by using the proposed fuzzy neuron structures, the model and learning algorithm of a new fuzzy learning are proposed. Two types of guard channels are introduced and analytic model of channel allocation is developed for soft handoff scheme in CDMA systems. To solve the optimal channel allocation, the proposed algorithm is applied. The experiment results show that the proposed method is efficient in the optimal channel allocation. |
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Keywords |
fuzzy neural network, physiological neurons, guard channel, soft handoff, CDMA |
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