摘要
This paper investigates channel allocation and cognitive radio networks. The color-sensitive graph power control schemes in OFDM-based multi-hop coloring (CSGC) model is viewed as an efficient solution to the spectrum assignment problem. The model is extended to combine with the power con- trol strategy to avoid interference among secondary users and adapt dynamic topology. The optimiza- tion problem is formulated encompassing the channel allocation and power control with the interfer- ence constrained below a tolerable limit. Meanwhile, the proposed resource allocation scheme takes the fairness of secondary users into account in obtaining the solution of optimization. Numerical re- suits show that the proposed strategy outperforms the existing spectrum assignment algorithms on the performance of both the network throughput and minimum route bandwidth of all routes, as well as the number of connected multi-hop routes which implies the fairness among secondary users.
This paper investigates channel allocation and power control schemes in OFDM-based multi-hop cognitive radio networks.The color-sensitive graph coloring(CSGC) model is viewed as an efficient solution to the spectrum assignment problem.The model is extended to combine with the power control strategy to avoid interference among secondary users and adapt dynamic topology.The optimization problem is formulated encompassing the channel allocation and power control with the interference constrained below a tolerable limit.Meanwhile,the proposed resource allocation scheme takes the fairness of secondary users into account in obtaining the solution of optimization.Numerical results show that the proposed strategy outperforms the existing spectrum assignment algorithms on the performance of both the network throughput and minimum route bandwidth of all routes,as well as the number of connected multi-hop routes which implies the fairness among secondary users.
基金
Supported by the National Natural Science Foundation of China(No.61461006)
the Guangxi Province Natural Science Foundation(No.2013GXNSFBA19271)