Open Access
ARTICLE
An Efficient Optimized Handover in Cognitive Radio Networks Using Cooperative Spectrum Sensing
H. Anandakumara, K. Umamaheswarib
a Department of Computer Science and Engineering, Akshaya College of Engineering and Technology, Coimbatore, India;
b Department of Information Technology, PSG College of Technology, Coimbatore, India
* Corresponding Author: H. Anandakumar,
Intelligent Automation & Soft Computing 2018, 24(4), 843-849. https://doi.org/10.1080/10798587.2017.1364931
Abstract
Cognitive radio systems necessitate the incorporation of cooperative spectrum sensing among cognitive
users to increase the reliability of detection. We have found that cooperative spectrum sensing is not
only advantageous, but is also essential to avoid interference with any primary users. Interference by
licensed users becomes a chief concern and issue, which affects primary as well as secondary users
leading to restrictions in spectrum sensing in cognitive radios. When the number of cognitive users
increases, the overheads of the systems, which are meant to report the sensing results to the common
receiver, which becomes massive. When the spectrum, which is in use becomes unavailable or when the
licensed user takes the allocated band, these networks have the capability of changing their operating
frequencies. In addition, cognitive radio networks are seen to have the unique capability of sensing the
spectrum range and detecting any spectrum, which has been left underutilized. Further this capability
of recognizing the spectrum range based on the dimensions detected, allows for determination of
the band, which may be utilized. The main objective of this paper is to analyze the cognitive radio’s
spectrum sensing ability and evolving a self-configured system with dynamic intelligence networks
without causing any interference to the primary user. The paper also brings focus to the quantitative
analysis of the two spectrum sensing techniques namely; Energy Detection and Band Limited White
Noise Detection. The estimation technique for detecting spectrum noise is based on the detection of
probability and probability of false alarms at different Signal-to-Noise Ratio (SNR) levels using Additive
White Gaussian Noise signal (AWGN). The efficiency of the proposed Cooperative CUSUM spectrum
sensing algorithm performs better than existing optimal rules based on a single observation spectrum
sensing techniques under cooperative networks.
Keywords
Cite This Article
. H. Anandakumar and . K. Umamaheswari, "An efficient optimized handover in cognitive radio networks using cooperative spectrum sensing,"
Intelligent Automation & Soft Computing, vol. 24, no.4, pp. 843–849, 2018. https://doi.org/10.1080/10798587.2017.1364931