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...
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2023
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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 |
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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 |
13.211869 |