Fast and Scalable Access to Advance Resource Reservation Data in Future Cellular Networks

Increasing demand on the scarce radio spectrum indicates that availability of required radio resources (e.g. wireless bandwidth) at a given time and location will be less certain in the future. Resource uncertainty inhibits many future applications that require large amount of resources to be guaranteed at specific times and locations. In order to address the problem of resource uncertainty, these applications may need to reserve network resources in advance. However, in order to support percall advance reservation, the network must store, process, and access large volume of reservation data efficiently. In particular, the admission control functions must have fast and scalable access to these reservation data for making effective decisions regarding the acceptance and rejection of both immediate and future calls. In this paper, we propose a distributed reservation database architecture that features proactive processing and delivery of reservation data to admission control functions located in each radio base-station. To demonstrate the effectiveness of our architecture, we present results from a prototype experiment that compared the proposed proactive approach with the traditional query-based data delivery approach. With proactive approach, the response time of admission control was 20 times or more faster than traditional query-based approach in our experiments.