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In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks...
We have designed and implemented a radio access network selection algorithm for heterogeneous wireless network environment, in which mobile terminals can adaptively and seamlessly handover among different radio access technologies. We propose a radio resource usage optimization algorithm without centralized computation on the network side, which is based on the Hopfield neural network dynamics whose...
Implementing dynamic spectrum assignment and access technologies in heterogeneous wireless networks may lead to considerable improvement in spectrum usage and quality of service. In this paper we evaluate the performance of SINR-based dynamic spectrum assignment and access algorithms using simulation. We compare network capacity values gained using these two algorithms with the one gained using SINR-based...
In this paper, dynamic spectrum access scenario where cognitive terminal having multi-homing capability dynamically access frequency bands assigned to different radio access networks is considered. For this scenario, QoS-guaranteed load-balancing dynamic spectrum access algorithm is proposed. For each cognitive terminal, this algorithm selects wireless access nodes to connect to. Also, it selects...
IEEE P1900.4 is an emerging standard for optimized radio resource utilization where cognitive radio technologies are used for efficient spectrum utilization. In this paper, we design and implement a cognitive wireless network system based on open documents of IEEE P1900.4, and evaluate its performance using UDP streaming and HTTP download. Our experiments show interesting results that total network...
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