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Cognitive radio (CR) is a promising technology that can be a solution for the frequency scarcity problem of the wireless mesh network operating on multiple channels. In this paper, we investigate the joint channel assignment and routing in CR-based wireless mesh networks (CRWMNs) for better coexistence with primary users and other CR networks. We formulate an optimization problem with the objective...
Cognitive radio is a new communication paradigm that is able to observe, learn, optimize, and intelligently adapt to achieve optimal frequency band usage. Cognitive radio (CR)-based wireless mesh networks (WMNS) provide infrastructures for secondary users' transmission, and it is necessary to develop techniques with low interference to primary users in such networks. In this paper, we propose an interference-minimization...
Due to their potential capabilities, cognitive radios have recently been creating a significant interest for researchers to develop new techniques that take advantage of their use to increase spectrum utilization. Albeit generally these researchers proposed solutions that address issues related to cognitive radios, they mainly relied on either analytical or simulation tools to evaluate their proposed...
In a cognitive wireless mesh network (CogMesh), each cognitive radio (CR) enabled mesh node can sense and opportunistically access the under-utilized spectrums in the primary system. Since the unoccupied spectrum is location- dependent and time-dependent, the available spectrums in each mesh node are different. With this spectrum heterogeneity, each node shall have the knowledge of spectrum, scheduling,...
Cognitive radio networks offer the promise of adaptively allocating resources on the fly. In this paper, we describe an interference mitigation technique that relies on intelligent resource allocation across a mesh network. In previous work, we presented a method for improving the performance of wireless mesh networks (WMN) through the use of multichannel wormhole switching. An approximate 800-fold...
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