Algorithm for the distribution of the time-frequency resource in a cognitive radio network

Authors

  • Ю.Ю. Коляденко
  • Б.П. Муляр

DOI:

https://doi.org/10.30837/rt.2020.2.201.16

Keywords:

distribution of the time-frequency resource, cognitive radio network, fuzzy logic

Abstract

The cognitive property implies the ability of a radio system to solve the following problems: transition from one standard to another; use of several standards; frequency tuning; the opportunity to participate in the dynamic distribution of the spectrum.

One of the problems that arise when allocating a frequency resource may be the lack of clear decision rules. In such cases, as a rule, nonparametric algorithms and methods are used, such as, for example, algorithms based on the mathematical apparatus of neural networks, or algorithms built on the mathematical apparatus of fuzzy logic.

An algorithm for the distribution of the time-frequency resource in the cognitive radio network is proposed. A distinctive feature of the developed algorithm is the use of both a parameter of the proportional fair distribution of physical resources PF and SINR. In addition, the decision in this algorithm is based on the mathematical apparatus of fuzzy logic. This algorithm can be used at the stage of network operation in the presence of a large number of speakers and centralized frequency management from the base station.

A simulation model for managing the time-frequency resource is developed. A fuzzy inference system has been created for deciding on the allocation of a time-frequency resource. Input variables in this case are “requested resources” and “available resources”. The output variable is the "likelihood of resource provision." To form the “requested resources”, a fuzzy inference system has also been created. The input variables are “SINR” and “PF” (the ratio of the instantaneous data rate to the average throughput).

References

Tafazolli R. (ed) (2006): Technologies for the Wireless Future, vol. 2. Wireless World Research Forum, (WWRF), John Wiley & Sons, Chichester, England.

Burns Р. SDR For 3G. Boston, Artech House, 2003. 279 p.

Haykin S. Cognitiveradio: brain-empowereswirelesscommunications // IEEE Journal Selected Areasin Communication. Vol. 23, no. 2, February 2005.

Стандарты ETSI TR 102 682 V1.1.1 (2009-07), ETSI TR 102 683 V1.1.1 (2009-09), ETSI TR 102 745 V1.1.1 (2009-10), ETSI TR 102 838 V1.1.1 (2009-10).

Mitola J. III and Maguire G.Q. Cognitive radio: making software radios more personal // IEEE Personal Communications. 1999. Vol. 6. No. 4. P. 13–18.

Mitola J. III. Cognitive Radio for Flexible Mobile Multimedia Communications // Mobile Multimedia Communications (MoMuC’99) // IEEE International Workshop, San Diego, CA, USA, 1999. Nov. P. 3–10.

Гельгор А.Л. Технология LTE мобильной передачи данных : учеб. пособие / А.Л. Гельгор, Е.А. Попов. СПб. : Изд-во Политехн. ун-та, 2011. 204 с.

Tse D. Viswanath P. Fundamentals of Wireless Communication. New York: Cambridge University Press, 2005. 583 p.

Liu L. Proportional fair scheduling for multi-cell multi-user MIMO systems / L. Liu, Y.-H. Nam, J. Zhang // Conference on Information Sciences and Systems (CISS), 2010. P. 1-6.

Крылов В.В. Нечеткая логика и искусственные нейронные сети // В.В. Круглов, М.И. Дли, Р.Ю. Голуков. Москва : Физматиз, 2001. 224 с.

Аунг М. М. Исследование и разработка алгоритмов планирования и приоритетного управления доступом в сетях WiMAX : автореф. дис. … канд. техн. наук. Москва, 2010.

Downloads

How to Cite

Коляденко, Ю., & Муляр, Б. (2020). Algorithm for the distribution of the time-frequency resource in a cognitive radio network. Radiotekhnika, 2(201), 171–178. https://doi.org/10.30837/rt.2020.2.201.16

Issue

No. 201 (2020): Radiotekhnika

Section

Articles

License

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).