Interference minimization based power allocation for cognitive radio networks with imperfect spectrum sensing

Abstract

This paper investigates power allocation problems for orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks operating in licensed frequency bands. Considering imperfect spectrum sensing, a new power allocation algorithm is proposed to minimize the total interference introduced to primary user under a minimum capacity constraint of secondary user (SU) and a total transmit power constraint of the SU. The numerical results demonstrate that the proposed power allocation scheme can not only keep the rate requirement of SU under spectrum sensing errors by comparison with traditional method, but also fully make use of the limited spectrum resource.