The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A tecnologia sem fio tornou-se amplamente popular e um importante meio de comunicação. Uma questão fundamental na prestação de serviços sem fio é o problema do congestionamento, que tem um impacto adverso na Qualidade do Serviço (QoS), especialmente na pontualidade. Embora muito trabalho tenha sido feito no contexto do RRM (Gestão de Recursos Rádio), a prestação de serviços de qualidade ao utilizador final continua a ser um desafio. Portanto, há necessidade de um sistema que forneça serviços em tempo real aos usuários por meio de alta garantia. Propomos uma abordagem inteligente baseada em agentes para garantir um Acordo de Nível de Serviço (SLA) predefinido com requisitos de usuário heterogêneos para alocação apropriada de largura de banda em redes celulares sensíveis à QoS. A arquitetura de sistema proposta explora a técnica de Raciocínio Baseado em Casos (CBR) para lidar com o processo RRM de gerenciamento de congestionamento. O sistema cumpre SLA predefinido através do uso do Algoritmo de Recuperação e Adaptação baseado na biblioteca de casos CBR. A arquitetura de agente inteligente proposta dá autonomia ao Controlador de Rede de Rádio (RNC) ou à Estação Base (BS) na aceitação, rejeição ou buffer de uma solicitação de conexão para gerenciar a largura de banda do sistema. Em vez de simplesmente bloquear a solicitação de conexão à medida que o congestionamento atinge o sistema, diferentes durações de buffer são alocadas para diversas classes de usuários com base em seu SLA. Isto aumenta a oportunidade de estabelecimento de conexão e reduz extensivamente a taxa de bloqueio de chamadas em ambientes em mudança. Realizamos simulação do sistema proposto que verifica o desempenho eficiente para tratamento de congestionamentos. Os resultados também mostram o dinamismo integrado do nosso sistema para atender a diversos requisitos de SLA.
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Hafiz Farooq AHMAD, Hiroki SUGURI, Muhammad Qaisar CHOUDHARY, Ammar HASSAN, Ali LIAQAT, Muhammad Umer KHAN, "Autonomous Distributed Congestion Control Scheme in WCDMA Network" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 9, pp. 2267-2275, September 2008, doi: 10.1093/ietisy/e91-d.9.2267.
Abstract: Wireless technology has become widely popular and an important means of communication. A key issue in delivering wireless services is the problem of congestion which has an adverse impact on the Quality of Service (QoS), especially timeliness. Although a lot of work has been done in the context of RRM (Radio Resource Management), the deliverance of quality service to the end user still remains a challenge. Therefore there is need for a system that provides real-time services to the users through high assurance. We propose an intelligent agent-based approach to guarantee a predefined Service Level Agreement (SLA) with heterogeneous user requirements for appropriate bandwidth allocation in QoS sensitive cellular networks. The proposed system architecture exploits Case Based Reasoning (CBR) technique to handle RRM process of congestion management. The system accomplishes predefined SLA through the use of Retrieval and Adaptation Algorithm based on CBR case library. The proposed intelligent agent architecture gives autonomy to Radio Network Controller (RNC) or Base Station (BS) in accepting, rejecting or buffering a connection request to manage system bandwidth. Instead of simply blocking the connection request as congestion hits the system, different buffering durations are allocated to diverse classes of users based on their SLA. This increases the opportunity of connection establishment and reduces the call blocking rate extensively in changing environment. We carry out simulation of the proposed system that verifies efficient performance for congestion handling. The results also show built-in dynamism of our system to cater for variety of SLA requirements.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.9.2267/_p
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@ARTICLE{e91-d_9_2267,
author={Hafiz Farooq AHMAD, Hiroki SUGURI, Muhammad Qaisar CHOUDHARY, Ammar HASSAN, Ali LIAQAT, Muhammad Umer KHAN, },
journal={IEICE TRANSACTIONS on Information},
title={Autonomous Distributed Congestion Control Scheme in WCDMA Network},
year={2008},
volume={E91-D},
number={9},
pages={2267-2275},
abstract={Wireless technology has become widely popular and an important means of communication. A key issue in delivering wireless services is the problem of congestion which has an adverse impact on the Quality of Service (QoS), especially timeliness. Although a lot of work has been done in the context of RRM (Radio Resource Management), the deliverance of quality service to the end user still remains a challenge. Therefore there is need for a system that provides real-time services to the users through high assurance. We propose an intelligent agent-based approach to guarantee a predefined Service Level Agreement (SLA) with heterogeneous user requirements for appropriate bandwidth allocation in QoS sensitive cellular networks. The proposed system architecture exploits Case Based Reasoning (CBR) technique to handle RRM process of congestion management. The system accomplishes predefined SLA through the use of Retrieval and Adaptation Algorithm based on CBR case library. The proposed intelligent agent architecture gives autonomy to Radio Network Controller (RNC) or Base Station (BS) in accepting, rejecting or buffering a connection request to manage system bandwidth. Instead of simply blocking the connection request as congestion hits the system, different buffering durations are allocated to diverse classes of users based on their SLA. This increases the opportunity of connection establishment and reduces the call blocking rate extensively in changing environment. We carry out simulation of the proposed system that verifies efficient performance for congestion handling. The results also show built-in dynamism of our system to cater for variety of SLA requirements.},
keywords={},
doi={10.1093/ietisy/e91-d.9.2267},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Autonomous Distributed Congestion Control Scheme in WCDMA Network
T2 - IEICE TRANSACTIONS on Information
SP - 2267
EP - 2275
AU - Hafiz Farooq AHMAD
AU - Hiroki SUGURI
AU - Muhammad Qaisar CHOUDHARY
AU - Ammar HASSAN
AU - Ali LIAQAT
AU - Muhammad Umer KHAN
PY - 2008
DO - 10.1093/ietisy/e91-d.9.2267
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2008
AB - Wireless technology has become widely popular and an important means of communication. A key issue in delivering wireless services is the problem of congestion which has an adverse impact on the Quality of Service (QoS), especially timeliness. Although a lot of work has been done in the context of RRM (Radio Resource Management), the deliverance of quality service to the end user still remains a challenge. Therefore there is need for a system that provides real-time services to the users through high assurance. We propose an intelligent agent-based approach to guarantee a predefined Service Level Agreement (SLA) with heterogeneous user requirements for appropriate bandwidth allocation in QoS sensitive cellular networks. The proposed system architecture exploits Case Based Reasoning (CBR) technique to handle RRM process of congestion management. The system accomplishes predefined SLA through the use of Retrieval and Adaptation Algorithm based on CBR case library. The proposed intelligent agent architecture gives autonomy to Radio Network Controller (RNC) or Base Station (BS) in accepting, rejecting or buffering a connection request to manage system bandwidth. Instead of simply blocking the connection request as congestion hits the system, different buffering durations are allocated to diverse classes of users based on their SLA. This increases the opportunity of connection establishment and reduces the call blocking rate extensively in changing environment. We carry out simulation of the proposed system that verifies efficient performance for congestion handling. The results also show built-in dynamism of our system to cater for variety of SLA requirements.
ER -