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In a cognitive wireless mesh network, licensed users (PUs) may borrow surplus spectrum from
other PUs and rent them to unlicensed users (SUs) for getting some revenue. For such spectrum
sharing paradigm, maximizing the revenue is the key objective of the PUs, while that of the SUs
is to meet their requirements and getting a good quality of service from the rented spectrum. PUs
exchange channels dynamically based on the availability of neighbor’s idle channels in a
cooperative manner in order to maximize PUs total revenue and utilize spectrum efficiently. We
need to develop a control policy that considers different requirements such as rewards for PUs,
wireless requirement (channel interference), the cost of spectrum renting and SUs satisfaction
(waiting time) and finds the optimal size and price of rented spectrum for each licensed user
under different radio environment conditions. Routing based on cognitive radio, power
management in wireless mesh networks, and spectrum pricing are other aspects that need to be…
Anjali Agarwal
Cistel Technology Inc.
Engineering
Technology
Concordia University
Accelerate
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