標題: | Fuzzy/neural congestion control for integrated voice and data DS-CDMA/FRMA cellular networks |
作者: | Chang, CJ Chen, BW Liu, TY Ren, FC 電信工程研究所 Institute of Communications Engineering |
關鍵字: | congestion control;direct sequence-code division multiple access/frame reservation multiple access;(DS-CDMA/FRMA) cellular networks;fuzzy/neural techniques |
公開日期: | 1-二月-2000 |
摘要: | The paper proposes congestion control using fuzzy/neural techniques for integrated voice and data direct-sequence code division multiple access/frame reservation multiple access (DS-CDMA/FRMA) cellular networks. The fuzzy/neural congestion controller is constituted by a pipeline recurrent neural network (PRNN) interference predictor, a fuzzy performance indicator, and a fuzzy/neural access probability controller It regulates traffic input to the integrated voice and data DS-CDMA/FRMA cellular system by determining proper access probabilities for users so that congestion can be avoided and throughput can be maximized. Simulation results show that the DS-CDMA/FRMA fuzzy/neural congestion controllers perform better than conventional DS-CDMA/PRMA with channel access function in voice packet dropping ratio, corruption ratio, and utilization. In addition, the neural congestion controller outperforms the fuzzy congestion controller. |
URI: | http://dx.doi.org/10.1109/49.824814 http://hdl.handle.net/11536/30793 |
ISSN: | 0733-8716 |
DOI: | 10.1109/49.824814 |
期刊: | IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS |
Volume: | 18 |
Issue: | 2 |
起始頁: | 283 |
結束頁: | 293 |
顯示於類別: | 期刊論文 |