scholarly journals Spectrum Decision Framework to Support Cognitive Radio Based IoT in 5G

2018 ◽  
Author(s):  
Ahmad Naeem Akhtar ◽  
Adil Masood Siddique
Keyword(s):  
Cognitive Radio ◽  
Decision Framework ◽  
Spectrum Decision

Energy Aware Spectrum Decision Framework for Cognitive Radio Networks

2012 ◽  
Author(s):  
Vishram Mishra ◽  
Lau Chiew Tong ◽  
Syin Chan ◽  
Ashish Kumar
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Decision Framework ◽  
Energy Aware ◽  
Spectrum Decision

A Spectrum Decision Framework for Cognitive Radio Networks

2011 ◽  
Vol 10 (2) ◽  
pp. 161-174 ◽  
Author(s):  
Won-Yeol Lee ◽  
I F Akyldiz
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Decision Framework ◽  
Spectrum Decision

scholarly journals A Spectrum Decision Framework For Cognitive Radio Networks: Overview

2014 ◽  
Vol 9 (1) ◽  
pp. 19-22
Author(s):  
Mitul D. Patel ◽  
◽  
Prof. S. B. Mule ◽  
Dr. S. R. Ganorkar
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Decision Framework ◽  
Spectrum Decision

scholarly journals A Novel Spectrum Decision Pattern for The Favorable Cognitive Radio Based Internet of Things in 5G System

2021 ◽  
Vol 10 (5) ◽  
pp. 315-323
Author(s):  
Hyils Sharon Magdalene. A ◽  
D. Shalini Punithavathani
Keyword(s):  
Cognitive Radio ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Cognitive Capacity ◽  
Decision Framework ◽  
Rf Spectrum ◽  
Spectrum Decision ◽  
Wireless Connectivity

The Radio Frequency (RF) Spectrum decision in Cognitive Radio (CR) allows unlicensed users of wireless communication schemes to conquer the unoccupied spectrum slots as a resolution for barely spectrum. The Internet of Things (IoT) is a broad-arriving network and its object is linked by wireless communication technologies, donating cost- efficiency and generously opens to remote users. When IoT is applied, it is injured by challenges of susceptibility in the forceful surrounding situations, allotment and use of bandwidth, ease of approach and expense to buy RF spectrum. The object is permeated with cognitive capacity and is capable to model RF spectrum decisions to attain interference-release and wireless connectivity due to their Quality of Service (QoS) demands. Therefore the spectrum decision through an unlicensed user on CR influences an importance in CR-based IoT in 5G system and further network. This article depicts a systematic sustainment of the spectrum decision structure to CR Network. So, this can be mainly achieved by applying a favorable spectrum sensing technique and a novel spectrum decision framework. Presently, the wireless connectivity is intended to greater capacity, immense machine connectivity, and greater data range, low end-to-end latency, low cost and coherent Quality of Experience (QoE) condition. Hence, 4G is being substituted by 5G. Being in this 5G, the vast connectivity can be properly inspired by using the novel techniques, which is applied under the Energy detection spectrum sensing system. Also, a novel spectrum decision framework is designed for the optimum application of applying the IoT in 5G system ie., the effective use of an allocated RF spectrum is differently underutilized because of the standard handling with the licensed users are called as Primary Users (PUs).

Fuzzification supported spectrum decision framework for cognitive radio networks

2017 ◽  
Vol 28 (12) ◽  
pp. e3229 ◽  
Author(s):  
A. N. Akhtar ◽  
A. Ghafoor ◽  
A. Rashdi ◽  
F. Arif
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Decision Framework ◽  
Spectrum Decision

Load-Balancing Spectrum Decision for Cognitive Radio Networks

2011 ◽  
Vol 29 (4) ◽  
pp. 757-769 ◽  
Author(s):  
Li-Chun Wang ◽  
Chung-Wei Wang ◽  
F Adachi
Keyword(s):  
Cognitive Radio ◽  
Load Balancing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Spectrum Decision
Sign in / Sign up

Export Citation Format

Share Document