Download PDF by Leijia Wu, Kumbesan Sandrasegaran: A Study on Radio Access Technology Selection Algorithms

By Leijia Wu, Kumbesan Sandrasegaran

ISBN-10: 3642293980

ISBN-13: 9783642293986

ISBN-10: 3642293999

ISBN-13: 9783642293993

This publication discusses the fundamental suggestion of universal Radio source administration (CRRM), specifically at the Radio entry applied sciences choice a part of CRRM. It introduces interplay services (information reporting functionality and RRM selection aid functionality) and 4 interplay levels (from low to very excessive) of CRRM. 4 attainable CRRM topologies (CRRM server, built-in CRRM, Hierarchical CRRM, and CRRM in person terminals) are defined. The publication provides diversified Radio entry applied sciences choice algorithms, together with unmarried criterion and a number of standards established algorithms are awarded and compares them. eventually, the ebook analyses the benefits and downsides of different choice algorithms.

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Additional resources for A Study on Radio Access Technology Selection Algorithms

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Hasib, A. Fapojuwo, Performance analysis of common radio resource management scheme in multi-service heterogeneous wireless networks, in IEEE Wireless Communications and Networking Conference (WCNC), Hong Kong, March 2007, pp. 3296–3300 17. A. O. Fapojuwo, A QoS Negotiation framework for heterogeneous wireless networks, in Canadian Conference on Electrical and Computer Engineering (CCECE), Vancouver, April 2007, pp. 769–772 18. R. Agustí, O. Salient, J. Pérez-Romero, L. Giupponi, A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework, in First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE), (2004), pp.

L. Giupponi, R. Agustí, J. Pérez-Romero, O. Sallent, A novel joint radio resource management approach with reinforcement learning mechanisms, in 24th IEEE International Performance, Computing, and Communications Conference (IPCCC), April 2005, pp. 621–626 20. C. Lin, C. Lee, Neural-Network-Based Fuzzy Logic Control and Decision System. IEEE Trans. Comput. 40(12), 1320–1336 (1991) 21. K. Lo, C. Shung, A Neural Fuzzy Resource Manager for Hierarchical Cellular Systems Supporting Multimedia Services.

Giupponi, A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework, in First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks (QSHINE), (2004), pp. 216–224 19. L. Giupponi, R. Agustí, J. Pérez-Romero, O. Sallent, A novel joint radio resource management approach with reinforcement learning mechanisms, in 24th IEEE International Performance, Computing, and Communications Conference (IPCCC), April 2005, pp. 621–626 20. C. Lin, C.

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A Study on Radio Access Technology Selection Algorithms by Leijia Wu, Kumbesan Sandrasegaran


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