Optimizing radio resource management in energy-efficient cognitive radio networks

Abstract

This paper elaborates on two radio resource management (RRM) algorithms exploited to optimally allocate radio spectrum and maintain maximum energy in cognitive radio (CR) network nodes of a centralized system architecture. Both RRM algorithms allow for effective TV White Spaces (TVWS) exploitation, using a radio spectrum broker. This broker orchestrates TVWS trading, between several secondary systems, based on an energy-efficient process, as well as the real time secondary spectrum market policy. The proposed TVWS allocation process follows, either a fixed-price or an auction-based trading approach. The efficiency of both algorithms is validated through a number of experimental tests, conducted under controlled simulation conditions. More specifically, their performance was evaluated, in terms of spectrum broker benefit, energy consumption level and throughput response, during TVWS allocation process.