Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності

Іваненко, С. А.

Публікація:
Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності

dc.contributor.author	Іваненко, С. А.
dc.date.accessioned	2020-09-03T16:05:37Z
dc.date.available	2020-09-03T16:05:37Z
dc.date.issued	2019
dc.description.abstract	The dissertation work is devoted to the solution of an actual scientific problem of search of unoccupied frequency channels in cognitive radio networks. The analysis of existing methods for identifying the primary users of the frequency resource was performed. It was considered the detection of primary transmitters using the following method: the energy method, the method of matched filtering, correlation and cyclostationary methods. Two groups of algorithms were also considered: parametric and nonparametric. Certain drawbacks of their use for the search of unoccupied frequency channels in cognitive radio networks were revealed. This is mainly due to the fact that most of them need a certain amount of a priori information regarding the signals that need to be detected. In practice, given the wide range of frequencies in which the IEEE 802.22 (54-862 MHz) cognitive radio standard operates, it is not possible to have the required amount of data. In turn, this creates a significant a priori uncertainty in solving the problem of radio monitoring in cognitive radio networks and creates certain restrictions on the use of known signal detection algorithms. In order to solve the problem of detection of unoccupied frequency channels in cognitive radio networks the using of detecting algorithms of changes in the statistical properties of signals is proposed. These algorithms make it possible to detect unknown signals in order to find unoccupied frequency channels under a priori uncertainty. The performance characteristics are investigated and the comparative 9 analysis of the developed algorithms is carried out by simulation on a computer using real signals operating in the frequency range defined for the standard. Broadband and narrowband signals were used for this purpose. The analysis of the efficiency of these algorithms was performed. The choice of optimal algorithms for detection of signals in the aggregate indicators of the quality of methods of multicriteria optimization was performed The optimal scanning time during radio monitoring in cognitive radio networks was found. Recommendations on the use of algorithms for detection and recognition of signals during spectrum scanning are developed. Keywords: mobile communication network, signal detection algorithms, cognitive resource allocation, resource clustering, space-time access.	uk_UA
dc.identifier.citation	Іваненко С. А. Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності : автореф. дис. ... канд. техн. наук : 05.12.17 "Радіотехнічні та телевізійні системи" / С. А. Іваненко ; М-во освіти і науки України, Харків. нац. ун-т радіоелектроніки. – Харків, 2019. – 22 с.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/12944
dc.language.iso	uk	uk_UA
dc.subject	mobile communication network	uk_UA
dc.subject	signal detection algorithms	uk_UA
dc.subject	cognitive resource allocation	uk_UA
dc.subject	resource clustering	uk_UA
dc.subject	space-time access	uk_UA
dc.title	Визначення незайнятих частотних каналів у когнітивних радіомережах методами виявлення та розпізнавання сигналів в умовах апріорної невизначеності	uk_UA
dc.type	Other	uk_UA
dspace.entity.type	Publication