DocumentCode
2855565
Title
Increasing QoS and Security in 4G Networks Using Cognitive Intelligence
Author
Muraleedharan, Rajani ; Osadciw, Lisa Ann
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY
fYear
2007
fDate
26-30 Nov. 2007
Firstpage
1
Lastpage
6
Abstract
Mobile networks have become an essential part of our day to day lives. The information shared requires secure communications with high reliability and quality-of-service (QoS). Hence, designing a 4G network to provide secure IP-based service by trading off constraints such as battery life, bandwidth and size to mobile users is a challenging task. In this paper, a cognitive framework using an evolutionary algorithm, Swarm Intelligence, is proposed. This framework uses a novel approach that utilizes a cost function that chooses the optimal parameters to provide an adaptive quality of service (QoS) based on the user´s needs. This approach ensures interoperability and scalability between different modulation techniques in the physical layer and enhances security against denial of service attacks such as jamming attacks and signaling attack.
Keywords
4G mobile communication; evolutionary computation; quality of service; telecommunication network reliability; telecommunication security; 4G networks; IP-based service; QoS; cognitive intelligence; communication security; communications reliability; denial of service attacks; evolutionary algorithm; jamming attacks; mobile networks; modulation techniques; quality-of-service; signaling attack; swarm intelligence; Bandwidth; Batteries; Cost function; Evolutionary computation; Information security; Intelligent networks; Mobile communication; Particle swarm optimization; Quality of service; Telecommunication network reliability; 4G; Cognitive Intelligence; Denial of Service; Heterogeneous network; QoS; Security; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Globecom Workshops, 2007 IEEE
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-2024-7
Type
conf
DOI
10.1109/GLOCOMW.2007.4437837
Filename
4437837
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