Intelligent Data Rate Control in Cognitive Mobile Heterogeneous Networks
Summary :
An adaptive rate controller (ARC) based on an adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt to the changing traffic load and the user speed for multimedia call services. The effect of user speed on the handoff rate is considered. Through simulations, it has been demonstrated that the ANFIS-ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while optimizing the average throughput. It has also been shown that the mobile cognitive wireless network with the proposed CS-ANFIS-ARC protocol can support more traffic load than neural fuzzy call-admission and rate controller (NFCRC) protocol.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.4 pp.1161-1169
- Publication Date
- 2012/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.1161
- Type of Manuscript
- Special Section PAPER (Special Section on Cognitive Radio and Heterogeneous Wireless Networks in Conjunction with Main Topics of CrownCom2011)
- Category
Authors
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Jeich MAR, Hsiao-Chen NIEN, Jen-Chia CHENG, "Intelligent Data Rate Control in Cognitive Mobile Heterogeneous Networks" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 4, pp. 1161-1169, April 2012, doi: 10.1587/transcom.E95.B.1161.
Abstract: An adaptive rate controller (ARC) based on an adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt to the changing traffic load and the user speed for multimedia call services. The effect of user speed on the handoff rate is considered. Through simulations, it has been demonstrated that the ANFIS-ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while optimizing the average throughput. It has also been shown that the mobile cognitive wireless network with the proposed CS-ANFIS-ARC protocol can support more traffic load than neural fuzzy call-admission and rate controller (NFCRC) protocol.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1161/_p
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@ARTICLE{e95-b_4_1161,
author={Jeich MAR, Hsiao-Chen NIEN, Jen-Chia CHENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Intelligent Data Rate Control in Cognitive Mobile Heterogeneous Networks},
year={2012},
volume={E95-B},
number={4},
pages={1161-1169},
abstract={An adaptive rate controller (ARC) based on an adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt to the changing traffic load and the user speed for multimedia call services. The effect of user speed on the handoff rate is considered. Through simulations, it has been demonstrated that the ANFIS-ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while optimizing the average throughput. It has also been shown that the mobile cognitive wireless network with the proposed CS-ANFIS-ARC protocol can support more traffic load than neural fuzzy call-admission and rate controller (NFCRC) protocol.},
keywords={},
doi={10.1587/transcom.E95.B.1161},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - Intelligent Data Rate Control in Cognitive Mobile Heterogeneous Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1161
EP - 1169
AU - Jeich MAR
AU - Hsiao-Chen NIEN
AU - Jen-Chia CHENG
PY - 2012
DO - 10.1587/transcom.E95.B.1161
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - An adaptive rate controller (ARC) based on an adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt to the changing traffic load and the user speed for multimedia call services. The effect of user speed on the handoff rate is considered. Through simulations, it has been demonstrated that the ANFIS-ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while optimizing the average throughput. It has also been shown that the mobile cognitive wireless network with the proposed CS-ANFIS-ARC protocol can support more traffic load than neural fuzzy call-admission and rate controller (NFCRC) protocol.
ER -
English
