The resource management in 3G systems with multi-nodes environment is a demanding task to provide flexible and higher bandwidth services. To cope multi-nodes environment heterogeneity, 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. Knowledge sharing for radio resource management, at cell level is a novel approach presented in this paper. The proposed architecture has induced the global effect through local information sharing to make reliable and consistent decisions. It provides efficient solutions for symmetric scenarios at different locations without replication of knowledge base. Our inference engine adapts the closest information retrieved from the knowledge repository efficiently through distant indexed values technique. Consequently, an Autonomous and Sociable RNC accepts, rejects or buffers a connection request to mange resources to meet QoS requirement as defined in Service Level Agreement (SLA).