Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietisy/e91-d.9.2267 | IEICE Transactions |
Keywords | Field | DocType |
predefined sla,system bandwidth,connection request,proposed system architecture,wcdma network,sla requirement,proposed system,congestion control scheme,connection establishment,congestion handling,congestion management,proposed intelligent agent architecture,system architecture,user requirements,congestion control,radio resource management,case base reasoning,base station,cellular network,quality of service,management system,bandwidth allocation,case based reasoning,intelligent agent,real time,intelligent agents | Radio resource management,Intelligent agent,Bandwidth allocation,Computer science,Service-level agreement,Quality of service,Computer network,Radio Network Controller,Network congestion,Cellular network | Journal |
Volume | Issue | ISSN |
E91-D | 9 | 0916-8532 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hafiz Farooq Ahmad | 1 | 164 | 29.04 |
| Hiroki Suguri | 2 | 168 | 25.94 |
| Muhammad Qaisar Choudhary | 3 | 0 | 0.68 |
| Ammar Hassan | 4 | 20 | 1.60 |
| Ali Liaqat | 5 | 0 | 0.34 |
| Muhammad Umer Khan | 6 | 27 | 5.65 |