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  • 1. Kamal, Hany
    et al.
    Mohammed, Abbas
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Game Theory for Cognitive Radio2013In: Cognitive Radio and Interference Management: Technology and Strategy / [ed] Meng-Lin Ku and Jia-Chin Lin, IGI Global, 2013, p. 115-126Chapter in book (Refereed)
    Abstract [en]

    Demands on high data rate applications are increasing and consequently demands on spectral resources are increasing as well. Although electromagnetic spectrum is recently said to be in a scarcity situation, several studies have shown that this scarcity is mainly due to the legacy command-and-control regulation rather than due to physical scarcity of spectrum. For this reason, researchers have started investigating techniques to better manage the usage of spectrum. Among these techniques there exist the methods allowing the primary/secondary usage of spectrum, or secondary market. Secondary market techniques mainly manage sensing, accessing, and aborting the spectrum usage by the secondary users. Techniques developed for secondary market context are also referred to as algorithms for Cognitive Radio (CR) networks. Regulators worldwide took measures to promote the deployment of primary/secondary context. In this chapter, the authors give an illustrative discussion on CR and on the application of game theory to overcome the spectrum scarcity problem. Game theory is a field of applied mathematics that describes and analyzes scenarios with interactive decisions. In recent years, there has been considerable interest in adopting game theoretic approaches to model many communications and networking problems such as radio resource management and routing. Nowadays, game theory is also used to model interactive situations for CR terminals.

  • 2.
    Salih, Sami H O
    et al.
    Sudan University of Science and Technology, SDN.
    Erman, Maria
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Mohammed, Abbas
    Blekinge Institute of Technology, School of Engineering, Department of Telecommunication Systems.
    A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks2012In: Self-Organization and Green Applications in Cognitive Radio Networks / [ed] Al-Dulaimi, Anwer; Cosmas, John; Mohammed, Abbas, IGI Global , 2012, p. 136-153Chapter in book (Other academic)
  • 3. Salih, Sami
    et al.
    Suliman, Mamoun
    Mohammed, Abbas
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    A novel spectrum sensing scheduler algorithm for Cognitive Radio Networks2013Conference paper (Refereed)
    Abstract [en]

    Cognitive Radios' is recognized as a novel approach to improve the utilization of a precious wireless communication natural resource; the radio frequency spectrum. Historically, telecom regulators assigned fixed spectrum bands to the licensee wireless network operators, this spectrum management approach is guarantee interference free environment, except of some configurations faults or illegal usage. However, with the increasing demand for more bandwidth in the finite radio spectrum, the concept of secondary operator's was emerged, but with emphases to not influence licensed operators. Consequently, Cognitive Radio Networks (CRN) architecture enters the market as an intelligent solution to these issues, with concentration on the spectrum sensing procedures to achieve the regulatory constraint. The most successful sensing algorithms is those applying cooperation and scheduling to have better scanning information, however those algorithms are developed base on the primary network activities which is good in terms of reducing the expected interference, but it lay more computational loads on the CRN. In this paper, a novel sensing scheduler algorithm is proposed, the idea is to utilize the CRN by fairly distribute the sensing task among the sensors, then utilizing the radio spectrum shared with the primary networks.

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