International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 06 | Jun 2023
p-ISSN: 2395-0072
www.irjet.net
METHODS FOR DETECTING ENERGY AND SIGNALS IN COGNITIVE RADIO Ayushi1, Dr. Priyanka Jaiswal2 1M.Tech, Electronic and Communication Engineering, GITM, Lucknow, India 2Professor Electronic and Communication Engineering, GITM, Lucknow, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Cognitive radio (CR) technology has emerged as
Cognitive radio can be used in a variety of applications, including wireless broadband, public safety communications, and military communications. It has the potential to significantly increase the capacity and efficiency of wireless networks, as well as improve the reliability and security of wireless communications.
a promising solution to improve the efficient use of the radio frequency spectrum. The main idea behind cognitive radio is to enable unlicensed users to utilize the licensed frequency bands while avoiding interference with the primary users. To achieve this, cognitive radio systems need to be able to detect the presence of the primary users and adapt their transmission parameters accordingly. This paper presents a review of various methods for detecting energy and signals in cognitive radio systems.
One of the key challenges in cognitive radio is ensuring that unlicensed users do not interfere with licensed users. To address this challenge, cognitive radio systems must be able to sense the radio environment accurately and reliably. They must also be able to adapt their behavior quickly and efficiently in response to changes in the radio environment.
The paper first provides an overview of the cognitive radio concept and the importance of spectrum sensing in cognitive radio networks. Then, it describes the various signal detection techniques such as energy detection, matched filter detection, cyclostationary feature detection, and eigenvalue-based detection. Each of these techniques is discussed in detail with their advantages and limitations.
Despite these challenges, cognitive radio has gained significant attention from researchers and industry experts alike. It is expected to play an important role in the development of next-generation wireless networks, which will be more efficient, reliable, and secure than current wireless networks.
Furthermore, the paper presents state-of-the-art techniques for signal detection in the presence of noise and fading, such as cooperative spectrum sensing, compressive sensing, and machine learning-based approaches. The advantages and limitations of each of these methods are also discussed.
Key Words: Cognitive radio, energy detection, signals detection, threshold-based, cyclostationary-based, matched filter-based, spectrum sensing.
1. INTRODUCTION Cognitive radio is a wireless communication technology that has the potential to revolutionize the way we use radio spectrum. Traditional wireless networks operate on a fixed set of frequencies, which can lead to inefficient use of the available spectrum. Cognitive radio systems, on the other hand, can detect available spectrums and adapt their transmission parameters to use the available spectrum efficiently. The key feature of cognitive radio is its ability to sense the radio environment and adjust its behavior accordingly. This is achieved through various techniques collectively known as spectrum sensing. Spectrum sensing enables cognitive radio systems to detect the presence of licensed users and avoid interfering with their transmissions. It also enables cognitive radio systems to identify and use available spectrum that is not being used by licensed users.
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Figure-1: Cognitive Radio
1.1. Principle of Cognitive Radio The principle of cognitive radio is to enable the efficient use of radio spectrum by allowing unlicensed users to access the spectrum when it is not being used by licensed users. This is
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