Tytuł:

An Efficient Cooperative Spectrum Sensing Method Using Renyi Entropy Weighted Optimal Likelihood Ratio for CRN, Journal of Telecommunications and Information Technology, 2023, nr 3

Tytuł publikacji grupowej:

2023, nr 3, JTIT-artykuły

Autor:

Poshattiwar, Sadhana D. ; Shrote, Sandip B.

Temat i słowa kluczowe:

cognitive radio ; spectrum sensing ; optimal weight ; signal energy ; eigen statistics

Opis:

kwartalnik

Abstrakt:

The main concept behind employing cognitive radio is to enable secondary users (SUs) or unlicensed users to utilize the available spectrum. Spectrum sensing methods detect the existence of primary users (PUs) and have become the main topic of research in the CRN industry and in academia. This paper proposes a new framework based on the Adam gradient descent (Adam GD) algorithm to develop a spectrum sensing mechanism used in CRNs and detecting the availability of free channels. The signal's components are extracted from the received signal and the spectrum is searched for availability which is detected through a fusion center using the proposed algorithm. The proposed Adam GD algorithm attains the maximum detection probability rate and the minimum false alarm probability of 0.71 and 0.39, respectively, for a Rayleigh channel.

Numer:

3

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Data wydania:

2023, nr 3

Typ zasobu:

artykuł

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

doi.org/10.26636/jtit.2023.3.136

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Licencja:

CC BY 4.0

Właściciel praw:

Instytut Łączności - Państwowy Instytut Badawczy