An algorithm for dynamic spectrum allocation in shadowing environment and with communication constraints

Abstract

The increasing demands in spectrum are not questionable. Instead of opening new spectrum bands we could utilize the spectrum that is currently in use more efficiently. Dynamic spectrum allocation access is a potential way to increase the spectrum utilization. According to the new access scheme, users that do not possess any dedicated frequency band could reuse some of the spectrum that belongs to licensed users. The main requirement for dynamic spectrum allocation is interference control.

In the Thesis an algorithm for dynamic spectrum allocation is proposed. The algorithm is based on power detection, interference estimation and uses the principles of distributed decision with data fusion. The effects of shadow fading are considered to make the system model realistic. The algorithm performance is tested with and without capacity constraints for the communicated decisions and useful performance bounds are provided.