2017
DOI: 10.14257/ijfgcn.2017.10.12.03
|View full text |Cite
|
Sign up to set email alerts
|

Smart Cognitive Cellular Network

Abstract: Abstract

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 13 publications
0
1
0
Order By: Relevance
“…These challenges can be addressed by the evolution of wireless standards, which can be achieved through the adoption of various technologies. These technologies include massive multiple-input multiple-output (MIMO) systems, artificial intelligence (AI), visible light communication (VLC), millimeter wave (mmWave) communications, cognitive radios (Khadim et al, 2017;Khan et al, 2016;Shaikh and Altaf, 2013;Shaikh and Tamil, 2015) and device-to-device (D2D) communications (Letaief et al, 2019;Noura and Nordin, 2016). D2D communications provide exciting opportunities to communicate user equipment directly to base stations (Fig.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…These challenges can be addressed by the evolution of wireless standards, which can be achieved through the adoption of various technologies. These technologies include massive multiple-input multiple-output (MIMO) systems, artificial intelligence (AI), visible light communication (VLC), millimeter wave (mmWave) communications, cognitive radios (Khadim et al, 2017;Khan et al, 2016;Shaikh and Altaf, 2013;Shaikh and Tamil, 2015) and device-to-device (D2D) communications (Letaief et al, 2019;Noura and Nordin, 2016). D2D communications provide exciting opportunities to communicate user equipment directly to base stations (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…The major applications of interest for D2D communication include public safety, disaster management, social networking, data flooding and local data transfer (Corson et al, 2010;Lin et al, 2014). Additionally, there are many features that can be borrowed from cognitive radio (Alam et al, 2017;Khadim et al, 2017;Khan et al, 2019) based wireless systems i.e. spectrum sensing, bandwidth sharing, energy optimization, and opportunistic communication to improve the performance of D2D communications.…”
Section: Introductionmentioning
confidence: 99%
“…While in most of the nonlinear environments, different algorithms use many other algorithms due to their specific use such as Support Vector Machines, K-Nearest Neighbor (KNN), Linear discriminant analysis (LDA) and Decision Trees [11]. In comparison to the aforementioned machine learning algorithms [12]- [14], deep learning algorithms typically perform much better.…”
Section: Introductionmentioning
confidence: 99%