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    Cognitive Aware Interference Mitigation Scheme for LTE Femtocells

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    Type
    Conference Paper
    Authors
    Alqerm, Ismail cc
    Shihada, Basem cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2015-10-24
    Online Publication Date
    2015-10-24
    Print Publication Date
    2015
    Permanent link to this record
    http://hdl.handle.net/10754/579816
    
    Metadata
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    Abstract
    Femto-cells deployment in today’s cellular networks came into practice to fulfill the increasing demand for data services. However, interference to other femto and macro-cells users remains an unresolved challenge. In this paper, we propose an interference mitigation scheme to control the cross-tier interference caused by femto-cells to the macro users and the co-tier interference among femtocells. Cognitive radio spectrum sensing capability is utilized to determine the non-occupied channels or the ones that cause minimal interference to the macro users. An awareness based channel allocation scheme is developed with the assistance of the graph-coloring algorithm to assign channels to the femto-cells base stations with power optimization, minimal interference, maximum throughput, and maximum spectrum efficiency. In addition, the scheme exploits negotiation capability to match traffic load and QoS with the channel capacity, and to maintain efficient utilization of the available channels.
    Citation
    AlQerm, Ismail, and Basem Shihada. "Cognitive Aware Interference Mitigation Scheme for LTE Femtocells." In Cognitive Radio Oriented Wireless Networks, pp. 607-619. Springer International Publishing, 2015
    Publisher
    Springer Nature
    Journal
    Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
    Conference/Event name
    10th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2015
    DOI
    10.1007/978-3-319-24540-9_50
    Additional Links
    http://link.springer.com/chapter/10.1007%2F978-3-319-24540-9_50
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-24540-9_50
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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