A Framework for JRRM with Resource Reservation and Multiservice Provisioning in Heterogeneous Networks-Reference-Cited by-同舟云学术

A Framework for JRRM with Resource Reservation and Multiservice Provisioning in Heterogeneous Networks

Published:2006-12 Issue:6 Volume:11 Page:825-846
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Giupponi Lorenza,Agustí Ramon,Pérez-Romero Jordi,Sallent Oriol

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11036-006-0052-3.pdf

Reference30 articles.

1. Gustafsson E, Jonsson A (2003) Always best connected. IEEE Wireless Communications Magazine 10(1):49–55, Feb

2. E2R Project. http://e2r.motlabs.com

3. Bourse D, El-Khazen K (2005) End-to-end reconfigurability (E2R) research perspectives. IEICE Trans Commun E88-B(11), ISSN 1745–1345, Nov

4. Tölli A, Hakalin P, Holma H (2002) Performance evaluation of common radio resource management (CRRM). IEEE International Conference on Communications (ICC 2002) 5:3429–3433, April

5. Agusti R, Sallent O, Pérez-Romero J, Giupponi L (2004) A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework. First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, Qshine’04, Dallas, USA, Oct.

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