Title:

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

Group publication title:

2023, nr 3, JTIT-artykuły

Creator:

Poshattiwar, Sadhana D. ; Shrote, Sandip B.

Subject and Keywords:

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

Description:

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.

Number:

3

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Date:

2023, nr 3

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

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

DOI:

doi.org/10.26636/jtit.2023.3.136

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

License:

CC BY 4.0

rights owner:

Instytut Łączności - Państwowy Instytut Badawczy