Decentralized channel assignment and power allocation in a full-duplex Cognitive radio network

Abstract

With the recent advances in radio modules capable of carrying out full duplex (FD) communication, the spectrum efficiency promised by the concept of Cognitive radio (CR) can be stretched even further by incorporating full duplex transceivers in CRs. This incorporation brings about certain challenges in the resource allocation. In this work we try to address some of the challenges in joint channel and power allocation. We proposed a decentralized scheme which is capable of selecting which channels to be used as half duplex and which to be used as FD between a pair of CRs. Then we decomposed the problem into two sub-problems one dealing with channel assignment and the other dealing with power allocation. In the power allocation we did not assume the signal to interference plus noise ratio to be high like most work in the literature. The monotonic optimization framework was used to solve the power allocation problem. Then the channel assignment problem was approximated by a linear objective function and was solved as a linear integer program.