OPTIMAL TECHNIQUES FOR SENSING ERROR MINIMIZATION WITH IMPROVED ENERGY DETECTION IN COGNITIVE RADIOS

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 4 (December 2014) > List of articles

OPTIMAL TECHNIQUES FOR SENSING ERROR MINIMIZATION WITH IMPROVED ENERGY DETECTION IN COGNITIVE RADIOS

K. Muthumeenakshi * / S. Radha *

Keywords : Spectrum sensing, Cognitive radio, Energy detection, Threshold optimization, Sensing error.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 2,014-2,034, DOI: https://doi.org/10.21307/ijssis-2017-745

License : (CC BY-NC-ND 4.0)

Received Date : 30-August-2014 / Accepted: 02-November-2014 / Published Online: 01-December-2014

ARTICLE

ABSTRACT

Spectrum sensing, the problem of detecting the presence of licensed user in the channel is
considered in this paper. Energy detection is best suited for the spectrum sensing when prior knowledge
about the primary users is unavailable. Existing works report improved versions of energy detection
which primarily focuses on maximizing the detection performance. Sensing error minimization is an
important aspect of spectrum sensing that needs attention. This paper focuses on the sensing error
minimization of the improved energy detection algorithm in which the decision statistic is computed
using an arbitrary positive index instead of squaring operation. First, an optimum decision threshold
satisfying Minimum Error Bound (MEB) is derived. Next, an optimum value of the arbitrary positive
index with minimum number of samples satisfying a Target Error Bound (TEB) is derived. A thorough
numerical analysis and simulations are performed and the results confirm the accuracy of the analysis.

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