Adaptive partitioned interference management in cellular networks

Abstract

This paper proposes an adaptive and scalable approach to resource allocation in cellular networks. We introduce an adaptive strategy to form clusters of coordinating base stations, referred to as scheduling cells (SCs), based on the local traffic demand. A system parameter is proposed which adjusts the level of coordination between the base stations. A proportional fair coordinated resource allocation scheme is discussed which allows informed reuse of resources within each cluster. The performance is evaluated for a system with one frequency channel. The proposed framework can adaptively form clusters of coordinating base stations in an autonomous cellular network with an irregular deployment of base stations.