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  • 1.
    Chakraborty, Joyraj
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    J.V.K.C., Varma
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    Erman, Maria
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    ANFIS based Opportunistic power control for cognitive radio in spectrum sharing2013Conference paper (Refereed)
    Abstract [en]

    Cognitive radio is an intelligent technology that helps in resolving the issue of spectrum scarcity. In a spectrum sharing network, where secondary user can communicate simultaneously along with the primary user in the same frequency band, one of the challenges is to obtain balance between two conflicting goals that are to minimize the interference to the primary users and to improve the performance of the secondary user. In our paper we have considered a primary link and a secondary link (cognitive link) in a fading channel. To improve the performance of the secondary user by maintaining the Quality of Service (Qos) to the primary user, we considered varying the transmit power of the cognitive user. For this we proposed ANFIS based opportunistic power control strategy with primary user's SNR and primary user's interference channel gain as inputs. By using fuzzy inference system, Qos of primary user is adhered and there is no need of complex feedback channel from primary receiver. The simulation results of the proposed strategy shows better performance than the one without power control.

  • 2.
    Erman, Maria
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Applications of Soft Computing Techniques for Wireless Communications2019Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented.

    Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks.

    This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.

  • 3. Erman, Maria
    et al.
    Mohammed, Abbas
    Rakus-Andersson, Elisabeth
    Fuzzy Logic Applications in Wireless Communications2009Conference paper (Refereed)
    Abstract [en]

    A survey of fuzzy logic applications and principles in wireless communications is presented, with the aim of highlighting successful usage of fuzzy logic techniques in applied telecommunications and signal processing. To the best of our knowledge, this is the first such study of its kind. This paper will focus firstly on discerning prevalent fuzzy logic or fuzzy-hybrid approaches in the areas of channel estimation, channel equalization and decoding, and secondly outlining what conditions and situations for which fuzzy logic techniques are most suited for these approaches. Furthermore, after insights gained from isolating fuzzy logic techniques applied to real problems, this paper proposes areas for further research targeted to practice-oriented researchers.

  • 4. Kathir, Kamal
    et al.
    Mohammed, Abbas
    Erman, Maria
    Cooperative Communications2009Conference paper (Refereed)
  • 5.
    Rakus-Andersson, Elisabeth
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science.
    Zettervall, Hang
    Blekinge Institute of Technology, School of Engineering, Department of Mathematics and Science.
    Erman, Maria
    Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
    Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix2010In: International Journal of General Systems, ISSN 0308-1079, E-ISSN 1563-5104, Vol. 39, no 3, p. 291-304Article in journal (Refereed)
    Abstract [en]

    We explore the classical model of a two-player game to select the best strategies, where action is expected to maintain the values of a certain variable on the neutral level. By inserting fuzzy sets as payoff values in the game matrix, we facilitate the procedure of formulations of payoff expectations by players. Instead of making inconvenient decisions about the choice of accurate numerical entries of the matrix, the players are able to use words, which should simplify communication between them when designing the preliminaries of the game. The players also have the possibility of making a ranking of their favourite strategies. At the next stage of the play, we involve group decision-making in order to aggregate results coming from several paired games, when more than two players contradict each other.

  • 6.
    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)
1 - 6 of 6
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