QoS prediction for high speed packet access networks

Yuting Sun; K. F. Tsang; H. Y. Tung; K. L. Lam; K. T. Ko

doi:10.1109/ccnc08.2007.182

QoS prediction for high speed packet access networks

Yuting Sun
, K. F. Tsang
, H. Y. Tung
, K. L. Lam
, K. T. Ko

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

By employing Bayesian Neural Network, a new QoS prediction algorithm for High Speed Packet Access Network has been developed. Network performances are evaluated based on a well developed Call Admission Control Scheme, namely the Tri-Threshold Bandwidth Reservation scheme. The algorithm helps to improve the resource management, thus saving the cost and bandwidth. © IEEE.

Original language	English
Title of host publication	2008 5th IEEE Consumer Communications and Networking Conference, CCNC 2008
Pages	788-789
DOIs	https://doi.org/10.1109/ccnc08.2007.182
Publication status	Published - 2008

Research Keywords

Bayesian neural network
High speed packet access network
QoS predictor

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10.1109/ccnc08.2007.182

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@inproceedings{c95a995e73fa47a5b14ae83a19d679e1,

title = "QoS prediction for high speed packet access networks",

abstract = "By employing Bayesian Neural Network, a new QoS prediction algorithm for High Speed Packet Access Network has been developed. Network performances are evaluated based on a well developed Call Admission Control Scheme, namely the Tri-Threshold Bandwidth Reservation scheme. The algorithm helps to improve the resource management, thus saving the cost and bandwidth. {\textcopyright} IEEE.",

keywords = "Bayesian neural network, High speed packet access network, QoS predictor",

author = "Yuting Sun and Tsang, \{K. F.\} and Tung, \{H. Y.\} and Lam, \{K. L.\} and Ko, \{K. T.\}",

year = "2008",

doi = "10.1109/ccnc08.2007.182",

language = "English",

isbn = "1424414571",

pages = "788--789",

booktitle = "2008 5th IEEE Consumer Communications and Networking Conference, CCNC 2008",

}

TY - GEN

T1 - QoS prediction for high speed packet access networks

AU - Sun, Yuting

AU - Tsang, K. F.

AU - Tung, H. Y.

AU - Lam, K. L.

AU - Ko, K. T.

PY - 2008

Y1 - 2008

N2 - By employing Bayesian Neural Network, a new QoS prediction algorithm for High Speed Packet Access Network has been developed. Network performances are evaluated based on a well developed Call Admission Control Scheme, namely the Tri-Threshold Bandwidth Reservation scheme. The algorithm helps to improve the resource management, thus saving the cost and bandwidth. © IEEE.

AB - By employing Bayesian Neural Network, a new QoS prediction algorithm for High Speed Packet Access Network has been developed. Network performances are evaluated based on a well developed Call Admission Control Scheme, namely the Tri-Threshold Bandwidth Reservation scheme. The algorithm helps to improve the resource management, thus saving the cost and bandwidth. © IEEE.

KW - Bayesian neural network

KW - High speed packet access network

KW - QoS predictor

UR - https://www.scopus.com/pages/publications/51949098234

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-51949098234&origin=recordpage

U2 - 10.1109/ccnc08.2007.182

DO - 10.1109/ccnc08.2007.182

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1424414571

SN - 9781424414574

SP - 788

EP - 789

BT - 2008 5th IEEE Consumer Communications and Networking Conference, CCNC 2008

ER -

QoS prediction for high speed packet access networks

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