Research Article
Resource Allocation in OFDM-based Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing and Guaranteed QoS
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694563, author={Feng Chen and Wenjun Xu and Yuchen Guo and Jiaru Lin and Mingsong Chen}, title={Resource Allocation in OFDM-based Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing and Guaranteed QoS}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={heterogeneous cognitive radio network single-network multi-homing imperfect spectrum sensing qos}, doi={10.1109/ChinaCom.2013.6694563} }- Feng Chen
Wenjun Xu
Yuchen Guo
Jiaru Lin
Mingsong Chen
Year: 2013
Resource Allocation in OFDM-based Heterogeneous Cognitive Radio Networks with Imperfect Spectrum Sensing and Guaranteed QoS
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694563
Abstract
In this paper, we consider the OFDM-based heterogeneous cognitive radio networks (HCRNs) and investigate the resource allocation problem for heterogenous users which include both Single-network and Multi-homing users in HCRNs with imperfect spectrum sensing and guaranteed quality of service (QoS). In order to maximize the capacity of the OFDM-based HCRNs, the joint subcarrier and power allocation problem is formulated with the total transmission power constraint, interference constraint and QoS constraint. To solve the mixed-inter nonlinear programming problem, it is relaxed to a linear programming problem firstly, and then a suboptimal algorithm with subcarrier assignment and power allocation is proposed based on the relaxed optimal solution. Simulation results are presented to demonstrate that the improved capacity of HCRNs can be obtained by the proposed algorithm. Besides, the communication of the primary users in HCRNs can be protected by taking sensing errors into consideration.
