Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks

This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple c...

Full description

Saved in:
Bibliographic Details
Main Authors: Hashim W., Ismail A.F., Hasan M.K., Anas N.M., Badron K.
Other Authors: 11440260100
Format: Article
Published: American Scientific Publishers 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-22640
record_format dspace
spelling my.uniten.dspace-226402023-05-29T14:11:27Z Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks Hashim W. Ismail A.F. Hasan M.K. Anas N.M. Badron K. 11440260100 36602773900 55057479600 16021375300 35387519800 This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporating this mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluation of this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power. � 2016 American Scientific Publishers. All rights reserved. Final 2023-05-29T06:11:27Z 2023-05-29T06:11:27Z 2016 Article 10.1166/asl.2016.7087 2-s2.0-85009111573 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009111573&doi=10.1166%2fasl.2016.7087&partnerID=40&md5=ed5b1499b318ed361295e03f12f40fc2 https://irepository.uniten.edu.my/handle/123456789/22640 22 10 2769 2772 American Scientific Publishers Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporating this mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluation of this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power. � 2016 American Scientific Publishers. All rights reserved.
author2 11440260100
author_facet 11440260100
Hashim W.
Ismail A.F.
Hasan M.K.
Anas N.M.
Badron K.
format Article
author Hashim W.
Ismail A.F.
Hasan M.K.
Anas N.M.
Badron K.
spellingShingle Hashim W.
Ismail A.F.
Hasan M.K.
Anas N.M.
Badron K.
Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
author_sort Hashim W.
title Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
title_short Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
title_full Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
title_fullStr Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
title_full_unstemmed Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
title_sort atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks
publisher American Scientific Publishers
publishDate 2023
_version_ 1806427438087929856
score 13.214268