MAC-Layer Scheduling in Cognitive Radio based Multi-Hop Wireless Networks
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Relaxed maximum a posteriori fault identification
Signal Processing
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Efficient error estimating coding: feasibility and applications
Proceedings of the ACM SIGCOMM 2010 conference
Efficient error estimating coding: feasibility and applications
IEEE/ACM Transactions on Networking (TON)
Joint spectrum allocation and relay selection in cellular cognitive radio networks
Mobile Networks and Applications - Special issue on Wireless and Personal Communications
Multi-leader multi-follower Stackelberg model for cognitive radio spectrum sharing scheme
Computer Networks: The International Journal of Computer and Telecommunications Networking
Hi-index | 0.00 |
Cognitive radio technology solves the spectrum under-utilization problem by enabling the secondary users access the spectrum holes opportunistically. Therefore, how to efficiently share the spectrum holes among the secondary users is of interest. Previous studies on spectrum sharing focused on the formulations with homogeneous channels. The channel heterogeneity, which is a unique feature in cognitive radio networks, has been ignored. In this paper, we model the channel heterogeneity and present a cross-layer optimization framework which jointly considers the spectrum sharing and routing with the objective of maximizing the fairness ratio. Since the formulation is in the forms of mixed integer linear programming (MILP), which is generally a difficult problem, we develop a heuristic method by solving a relaxation of the original problem, followed by rounding and simple local optimization. Simulation results show that the heuristic approach performs very well, i.e., the solutions obtained by the heuristic approach are very close to the global optimum obtained via LINGO. To the best of our knowledge this is the first attempt to model the channel heterogeneity into the formulation of spectrum sharing in cognitive radio networks.