Performance analysis of spectrum sensing methods: A numerical approach
Errors; Femtocell; Heterogeneous networks; Intelligent systems; Monte Carlo methods; Numerical methods; Orthogonal frequency division multiplexing; Critical challenges; HetNeT; Numerical approaches; Orthogonal frequency division multiplexing systems; Performance analysis; Spectrum; Spectrum detectio...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-224142023-05-29T14:00:50Z Performance analysis of spectrum sensing methods: A numerical approach Hasan M.K. Ismail A.F. Abdalla A.H. Ramli H.A.M. Islam S. Hashim W. 55057479600 36602773900 24823900300 35410461900 56854827500 11440260100 Errors; Femtocell; Heterogeneous networks; Intelligent systems; Monte Carlo methods; Numerical methods; Orthogonal frequency division multiplexing; Critical challenges; HetNeT; Numerical approaches; Orthogonal frequency division multiplexing systems; Performance analysis; Spectrum; Spectrum detection; Spectrum sensing techniques; Long Term Evolution (LTE) Recent enhancement of Long Term Evolution / Advanced (LTE/LTE-A) is aimed to increase the throughput of the Orthogonal Frequency Division Multiplexing (OFDM) system. This is quite obvious where both frequency and time division are employed in order to augment the system capacity. In LTE/LTE-A heterogeneous Networks (Het Nets), femto cells (He Node Bs) are the optimal choice to extend the coverage within indoor environment. Nonetheless, the deployment of such base stations, somewhat to certain extent, does create cross-tier and co-tier interferences with the macro cell users (UEmacro-eNB) that ostensibly can become a critical challenge. It is implied that the unutilized / idle spectrums reallocation might be one of the solutions to mitigate such challenge. However, the errorless spectrum sensing does pose another issue. This paper outlines the investigation findings where spectrum sensing techniques is deployed to maximize the spectrum detection capacity with minimum error in OFDM based Het Nets. In addition, in the attempt to increase the efficiency of spectrum resources, this paper proposes a sensing technique which is imposed over advanced energy detection technique to detect the idle spectrums. The result of the proposed scheme is evaluated using Monte Carlo simulation. � 2014 IEEE. Final 2023-05-29T06:00:50Z 2023-05-29T06:00:50Z 2015 Conference Paper 10.1109/ICCCE.2014.63 2-s2.0-84924245320 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924245320&doi=10.1109%2fICCCE.2014.63&partnerID=40&md5=0064767c94efda7975719147b94976c9 https://irepository.uniten.edu.my/handle/123456789/22414 7031634 193 196 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Errors; Femtocell; Heterogeneous networks; Intelligent systems; Monte Carlo methods; Numerical methods; Orthogonal frequency division multiplexing; Critical challenges; HetNeT; Numerical approaches; Orthogonal frequency division multiplexing systems; Performance analysis; Spectrum; Spectrum detection; Spectrum sensing techniques; Long Term Evolution (LTE) |
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55057479600 |
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55057479600 Hasan M.K. Ismail A.F. Abdalla A.H. Ramli H.A.M. Islam S. Hashim W. |
| format |
Conference Paper |
| author |
Hasan M.K. Ismail A.F. Abdalla A.H. Ramli H.A.M. Islam S. Hashim W. |
| spellingShingle |
Hasan M.K. Ismail A.F. Abdalla A.H. Ramli H.A.M. Islam S. Hashim W. Performance analysis of spectrum sensing methods: A numerical approach |
| author_sort |
Hasan M.K. |
| title |
Performance analysis of spectrum sensing methods: A numerical approach |
| title_short |
Performance analysis of spectrum sensing methods: A numerical approach |
| title_full |
Performance analysis of spectrum sensing methods: A numerical approach |
| title_fullStr |
Performance analysis of spectrum sensing methods: A numerical approach |
| title_full_unstemmed |
Performance analysis of spectrum sensing methods: A numerical approach |
| title_sort |
performance analysis of spectrum sensing methods: a numerical approach |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806424520401092608 |
| score |
13.211869 |