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


文件中的檔案:

  1. 000085750500012.pdf