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Erman, Maria
Publications (5 of 5) Show all publications
Chakraborty, J., J.V.K.C., V. & Erman, M. (2013). ANFIS based Opportunistic power control for cognitive radio in spectrum sharing. In: : . Paper presented at International Conference on Electrical Information and Communication Technology (EICT). Khulna, Bangladesh: IEEE
Open this publication in new window or tab >>ANFIS based Opportunistic power control for cognitive radio in spectrum sharing
2013 (English)Conference paper, Published 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.

Place, publisher, year, edition, pages
Khulna, Bangladesh: IEEE, 2013
Keywords
ANFIS, Fuzzy inference system, spectrum sharing
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-6353 (URN)000342218600027 ()oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (Local ID)978-1-4799-2299-4 (ISBN)oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (Archive number)oai:bth.se:forskinfoDB11F4D6BC7593A9C1257E50004540B7 (OAI)
Conference
International Conference on Electrical Information and Communication Technology (EICT)
Available from: 2015-05-25 Created: 2015-05-25 Last updated: 2018-12-19Bibliographically approved
Salih, S. H., Erman, M. & Mohammed, A. (2012). A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks. In: Al-Dulaimi, Anwer; Cosmas, John; Mohammed, Abbas (Ed.), Self-Organization and Green Applications in Cognitive Radio Networks: (pp. 136-153). IGI Global
Open this publication in new window or tab >>A Novel Spectrum Sensing Scheduling Algorithm for Cognitive Radio Networks
2012 (English)In: 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)
Place, publisher, year, edition, pages
IGI Global, 2012
National Category
Telecommunications
Identifiers
urn:nbn:se:bth-17310 (URN)10.4018/978-1-4666-2812-0.ch007 (DOI)
Available from: 2018-11-19 Created: 2018-11-19 Last updated: 2018-12-19Bibliographically approved
Rakus-Andersson, E., Zettervall, H. & Erman, M. (2010). Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix. International Journal of General Systems, 39(3), 291-304
Open this publication in new window or tab >>Prioritisation of weighted strategies in multiplayer games with fuzzy entries of the payoff matrix
2010 (English)In: International Journal of General Systems, ISSN 0308-1079, E-ISSN 1563-5104, Vol. 39, no 3, p. 291-304Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Taylor&Francis, 2010
Keywords
two-player game, fuzzy payoff matrix, weighted strategies, group decision-making
National Category
Mathematics
Identifiers
urn:nbn:se:bth-7893 (URN)10.1080/03081070903552882 (DOI)000275196000006 ()oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (Local ID)oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (Archive number)oai:bth.se:forskinfoA575B78E12FDA721C12576B7004FEEA3 (OAI)
External cooperation:
Available from: 2012-09-18 Created: 2010-01-26 Last updated: 2018-12-19Bibliographically approved
Kathir, K., Mohammed, A. & Erman, M. (2009). Cooperative Communications. Paper presented at IC-EpsMsO. Paper presented at IC-EpsMsO. Athens
Open this publication in new window or tab >>Cooperative Communications
2009 (English)Conference paper, Published paper (Refereed) Published
Place, publisher, year, edition, pages
Athens: , 2009
Keywords
Cooperative Communications, MIMO, Fading Channels, Wireless Communications
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-8011 (URN)oai:bth.se:forskinfoCB2277E42A964834C125760E00627364 (Local ID)oai:bth.se:forskinfoCB2277E42A964834C125760E00627364 (Archive number)oai:bth.se:forskinfoCB2277E42A964834C125760E00627364 (OAI)
Conference
IC-EpsMsO
Available from: 2012-09-18 Created: 2009-08-10 Last updated: 2015-06-30Bibliographically approved
Erman, M., Mohammed, A. & Rakus-Andersson, E. (2009). Fuzzy Logic Applications in Wireless Communications. Paper presented at IFSA2009 / EUSFLAT09. Paper presented at IFSA2009 / EUSFLAT09. Lisbon: EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY
Open this publication in new window or tab >>Fuzzy Logic Applications in Wireless Communications
2009 (English)Conference paper, Published paper (Refereed) Published
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.

Place, publisher, year, edition, pages
Lisbon: EUROPEAN SOC FUZZY LOGIC & TECHNOLOGY, 2009
Keywords
Fuzzy Logic, Channel equalization, Channel Estimation, Wireless Communications
National Category
Telecommunications Signal Processing
Identifiers
urn:nbn:se:bth-8008 (URN)000279170600134 ()oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (Local ID)978-989-95079-6-8 (ISBN)oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (Archive number)oai:bth.se:forskinfo2B0764574F71C8CDC125760E0064E426 (OAI)
Conference
IFSA2009 / EUSFLAT09
Available from: 2012-09-18 Created: 2009-08-10 Last updated: 2018-12-19Bibliographically approved
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