9783848493616 - relay selection & resource allocation in cognitive cooperative network: a neuro-fuzzy based approach de kaiser, m. shamim (4 resultados)
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Taschenbuch. Condición: Neu. Relay Selection & Resource Allocation in Cognitive Cooperative Network | A Neuro-Fuzzy Based Approach | M. Shamim Kaiser | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848493616 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA,…LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Relay Selection & Resource Allocation in Cognitive Cooperative Network: A Neuro-Fuzzy Based Approach
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaiser M. ShamimM. Shamim Kaiser received his Ph. D. degree in Telecommunications from Asian Institute of Technology, Thailand and M.S. in Applied Physics Electronics and Commun…ication Engg from University of Dhaka, Bangladesh. Curre.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cooperative relaying in a cognitive radio network (CRN) has been used to achieve diversity gain and energy efficiency through the relay node. This dissertation investigates the Neuro-Fuzzy (NF) based relay selection, fair resource alloca…tion for cooperative relay network. The main idea is to increase the data transmission rate and spectrum utilization efficiency while decreasing the outage probability and complexity of the system. The outage probability and BER expressions have been derived. Simulation results depict close consensus between analytical results and simulations. NF selection algorithm provides better performance improvement over conventional algorithms. The complexity analysis shows that the proposed algorithm requires less time to select the best relay. We also investigate opportunistic spectrum access and spectrum hand-off (HO) for RCRN using intelligent NF based approach. The main aim is to increase the average throughput of the RCRN while reducing the number of HO decisions. Performance evaluations also reveal that the outage probability is reduced and the system's capacity is increased.
