scispace - formally typeset
Journal ArticleDOI

Double threshold-based cooperative spectrum sensing for a cognitive radio network with improved energy detectors

Abhijit Bhowmick, +3 more
- 03 Dec 2015 - 
- Vol. 9, Iss: 18, pp 2216-2226
TLDR
It was observed that k nor increases as the signal power raise factor of IED increases or failed sensing probability decreases, and the agility of the network improves as the PU death rate increases.
Abstract
Performance of cooperative spectrum sensing in a cognitive radio (CR) network is investigated where each CR node uses an improved energy detector (IED) to sense the primary user (PU), and makes a local decision regarding the presence of PU using double thresholds (DTHs). The local hard decisions are combined at fusion centre (FC) to obtain the global decision. The advantage of a DTH-based system over a single threshold based one is, a CR node can opt for no decision when a decision variable lies in the fuzzy zone between two thresholds. Such censoring reduces the transmission overhead between CR and FC without significantly affecting the receiver operating characteristics. In this study, the performance of the abovementioned CR network has been assessed in terms of the average number of normalised transmitted sensing bits (k nor), the total error probability (P e,n ) and optimal number of CR users that ensures minimum Pe,n . It was observed that k nor increases as the signal power raise factor of IED increases or failed sensing probability decreases. Further, the agility of the network improves as the PU death rate increases. Impact of reporting channel on the sensing performance has also been indicated.

read more

Citations
More filters
Journal ArticleDOI

An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels

TL;DR: The impact of the cognitive user mobility on the performance of the improved energy detector is investigated and the statistics for the received signal are derived over various fading environments.
Journal ArticleDOI

Wireless Technology Recognition Based on RSSI Distribution at Sub-Nyquist Sampling Rate for Constrained Devices.

TL;DR: This work proves that multi-model distribution of the received signal strength indicator (RSSI) is related to the signals’ modulation schemes and medium access mechanisms, and RSSI from different technologies may exhibit highly distinctive features.
Journal ArticleDOI

A novel approach for energy‐efficient resource allocation in double threshold‐based cognitive radio network

TL;DR: A novel algorithm called iterative Dinkelbach method (IDM) is proposed which jointly optimizes the sensing time and transmission power allocation to the SUs and Lagrangian duality theorem is employed to find the exact power assigned to theSUs.
Journal ArticleDOI

Intelligent resource allocation scheme for the cognitive radio network in the presence of primary user emulation attack

Deepa Das, +1 more
- 01 Oct 2017 - 
TL;DR: The authors proposed approaches are based on the suitable selection of SUs and adaptive power allocation under the constraints of maximum throughput, controlled transmission power providing sufficient protection to the primary user, minimum power consumption and minimum false alarm probability.
Journal ArticleDOI

Fast matching pursuit for wideband spectrum sensing in cognitive radio networks

TL;DR: This paper introduces fast matching pursuit (FMP), a fast and accurate greedy recovery algorithm for compressed sensing, capable of reconstructing spectrum signals from samples at a rate of about 25% of the Nyquist rate, significantly faster than other related algorithms.
References
More filters
Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI

Cognitive radio: making software radios more personal

TL;DR: With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs and transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them.
Journal ArticleDOI

Integrals and Series

TL;DR: The pages of this expensive but invaluable reference work are dense with formulae of stupefying complexity as discussed by the authors, where definite/indefinite integral properties of a great variety of special functions are discussed.
Proceedings ArticleDOI

Implementation issues in spectrum sensing for cognitive radios

TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Related Papers (5)