• 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