Interference Minimization Approach for Joint Resource Allocation in Cognitive OFDMA Networks
Miao Liu, Tiecheng Song, Lei Zhang, Jing Hu · 2016
In this paper, we propose a novel resource allocation (RA) scheme based on interference minimization (IM) for cognitive radio networks (CRN). In the approach, we focus on an efficient scheme of subchannels assignment, power allocation and access control for the orthogonal frequency division multiple access (OFDMA)-based secondary users (SUs), accessing licensed spectrums of primary users (PUs) with underlay approach. Different from traditional schemes, we consider more for PUs' capacity protection, by taking the interference introduced to PUs as minimization objective. Compared with other schemes, the simulation results show that our proposed scheme can reserve more PUs' capacity, while guaranteeing the rate and the Quality of Service (QoS) of SUs.