Cooperation of RNC Agents for SLA Based Radio Resource Management

Abstract

Resource management is one of the vital aspects in 3G networks as it controls the system capacity to manage congestion. It becomes more complex when all subscribers have to communicate using shared spectrum of Universal Mobile Telecommunications System (UMTS) and require flexible, higher bandwidth services. A key issue in delivering wireless services is the problem of congestion which has an adverse impact on the quality of service (QoS). To cope with QoS, there is a need of intelligent RNC (radio network controller) at BS (base station), which cooperates to adapt and retrieve information to manage the resources intelligently and reliably in a consistent manner. The proposed intelligent RNC react autonomously keeping in view the service level agreement (SLA), network environmental changes and collaboration with each other to share their knowledge. Distant index based retrieval and adaptation algorithms are proposed in this paper to handle unpredictable scenarios. These RNCs, as a result, accept, reject or buffer a connection request to manage resources to meet QoS requirement as defined in SLA. The evaluation shows that system congestion for high priority subscribers is significantly reduced at the cost of low priority subscribers in real time.