標題: Intelligent call admission control for wideband CDMA cellular systems
作者: Shen, S
Chang, CJ
Huang, CY
Bi, Q
電子工程學系及電子研究所
電信工程研究所
Department of Electronics Engineering and Institute of Electronics
Institute of Communications Engineering
關鍵字: call admission control;equivalent interference;fuzzy logic;handoff;neural network
公開日期: 1-九月-2004
摘要: In this paper, we propose intelligent call admission control for wideband code-division multiple-access (CDMA) cellular systems to support differentiated quality-of-service (QoS) requirements, guarantee the forced termination probability of handoffs, and maximize the spectrum utilization. The intelligent call admission controller (ICAC) contains a fuzzy call admission processor to make admission decision for a call request by considering QoS measures such as the forced termination (drop call) probability of handoff, the outage probability of all service types, the predicted next-step existing-call interference, the link gain, and the estimated equivalent interference of the call request. The pipeline recurrent neural network (PRNN) is used to accurately predict the next-step existing-call interference, and the fuzzy logic theory is applied to estimate the new/handoff call interference based on knowledge of effective bandwidth method. Simulation results indicate that ICAC achieves system capacity higher than conventional CAC schemes by an amount of more than 10% in both low and high moving speed cases. Moreover, ICAC can cope with the unpredictable statistical fluctuation of wireless multimedia traffic; it always fulfill QoS requirements for all service types and keep the forced termination probability satisfied, while the CAC of multimedia calls (MCAC) and SIR-based CAC with intercell interference prediction (PSIR-CAC) fail to adapt to the variation of traffic conditions.
URI: http://dx.doi.org/10.1109/TWC.2004.834702
http://hdl.handle.net/11536/26407
ISSN: 1536-1276
DOI: 10.1109/TWC.2004.834702
期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume: 3
Issue: 5
起始頁: 1810
結束頁: 1821
顯示於類別:期刊論文


文件中的檔案:

  1. 000224496200055.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。