A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Service overlay networks: SLAs, QoS, and bandwidth provisioning
IEEE/ACM Transactions on Networking (TON)
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Minimum weight routing based on a common link control radio for cognitive wireless ad hoc networks
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
Local coordination based routing and spectrum assignment in multi-hop cognitive radio networks
Mobile Networks and Applications
Cross-layer Routing Design in Cognitive Radio Networks by Colored Multigraph Model
Wireless Personal Communications: An International Journal
Cluster-Based Spectrum Management Using Cognitive Radios in Wireless Mesh Network
ICCCN '09 Proceedings of the 2009 Proceedings of 18th International Conference on Computer Communications and Networks
CNSR '11 Proceedings of the 2011 Ninth Annual Communication Networks and Services Research Conference
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios
IEEE Journal on Selected Areas in Communications
Optimizing spectrum trading in cognitive mesh network using machine learning
Journal of Electrical and Computer Engineering - Special issue on Resource Allocation in Communications and Computing
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In cognitive radio networks CRNs, unlicensed users secondary users - SUs lease free spectrum with quality of service QoS guarantees from a multitude of spectrum owners primary users, PUs based on service level agreements SLA. Free spectrum is used to establish the links of secondary network. The amount of leased spectrum influences the admitted number of SU's requests, PUs' profits, and the cost of renting spectrum. Hence, the PU can maximise its profit by adapting its resources to the changes in the traffic load and SLA costs conditions. We propose a novel approach that maximises PU's profit using economic model. Our economic model integrates the network routing with the adaptation of the capacity of secondary network links. For SUs, QoS should be maintained while adapting the secondary network capacity. Our adaptation scheme is based on the profit maximisation. The Markov decision process MDP is used to derive the adaption scheme. Numerical results show the ability of the proposed scheme to attain the optimal profit under different conditions and constraints.