Spectrum Leasing in Cognitive Radio Networks: A Matching Theory Approach

Abstract

In this paper, we analyze the problem of spectrum leasing in cognitive radio networks using principles from matching theory. More specifically, we deal with the pairing problem among the primary and the secondary users and we propose two different matching schemes that take into account the preferences of each user in terms of performance. The first scheme is a one-to-one matching scheme that is based on the deferred acceptance algorithm whereas the second one refers to a one-to-many matching algorithm where each primary user may cooperate with more than one secondary user. The performance of both proposed schemes is finally investigated for various network parameters and some useful conclusions are drawn.