Throughput maximization for the cross-tier interference in heterogeneous network

The implementation of HeNodeB in HetNet is to increase the capacity, coverage, lower the operating costs as well as to offer steady user-based experience of network architecture. The HeNodeBs are deployed with the co-channel allocation along with macro-eNodeB. However, the random HeNodeB deployments...

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Main Authors: Hasan M.K., Ismail A.F., Abdalla A.-H., Ramli H.A.M., Hashim W., Islam S.
Other Authors: 55057479600
Format: Article
Published: American Scientific Publishers 2023
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spelling my.uniten.dspace-226392023-05-29T14:11:26Z Throughput maximization for the cross-tier interference in heterogeneous network Hasan M.K. Ismail A.F. Abdalla A.-H. Ramli H.A.M. Hashim W. Islam S. 55057479600 36602773900 24823900300 35410461900 11440260100 56854827500 The implementation of HeNodeB in HetNet is to increase the capacity, coverage, lower the operating costs as well as to offer steady user-based experience of network architecture. The HeNodeBs are deployed with the co-channel allocation along with macro-eNodeB. However, the random HeNodeB deployments raises Cross-tier Interference (CSI). The CSI results in the degradation of total capacity as well as throughput which leads the system performance deterioration. The CSI mainly occurs in the OFDMA signal which interrupts the communication for both UL and DL. Therefore, in this paper evolutionary biogeography-based dynamic subchannel allocation approach is proposed and implemented to evaluated SINR performance, throughput, capacity and percentage of interference. The enhancement of the system throughput, and capacity in terms of Signal to Interference Noise Ratio (SINR) is analyzed, and the interference is reduced. The system level simulation is considered to evaluate the performance of the approach. The results show that, the SINR performance, throughput as well as total capacity is enhanced than the existing technique. � 2016 American Scientific Publishers. All rights reserved. Final 2023-05-29T06:11:26Z 2023-05-29T06:11:26Z 2016 Article 10.1166/asl.2016.7111 2-s2.0-85009135383 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009135383&doi=10.1166%2fasl.2016.7111&partnerID=40&md5=b326170f96b141a80466da9856932e32 https://irepository.uniten.edu.my/handle/123456789/22639 22 10 2785 2789 American Scientific Publishers Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
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country Malaysia
content_provider Universiti Tenaga Nasional
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description The implementation of HeNodeB in HetNet is to increase the capacity, coverage, lower the operating costs as well as to offer steady user-based experience of network architecture. The HeNodeBs are deployed with the co-channel allocation along with macro-eNodeB. However, the random HeNodeB deployments raises Cross-tier Interference (CSI). The CSI results in the degradation of total capacity as well as throughput which leads the system performance deterioration. The CSI mainly occurs in the OFDMA signal which interrupts the communication for both UL and DL. Therefore, in this paper evolutionary biogeography-based dynamic subchannel allocation approach is proposed and implemented to evaluated SINR performance, throughput, capacity and percentage of interference. The enhancement of the system throughput, and capacity in terms of Signal to Interference Noise Ratio (SINR) is analyzed, and the interference is reduced. The system level simulation is considered to evaluate the performance of the approach. The results show that, the SINR performance, throughput as well as total capacity is enhanced than the existing technique. � 2016 American Scientific Publishers. All rights reserved.
author2 55057479600
author_facet 55057479600
Hasan M.K.
Ismail A.F.
Abdalla A.-H.
Ramli H.A.M.
Hashim W.
Islam S.
format Article
author Hasan M.K.
Ismail A.F.
Abdalla A.-H.
Ramli H.A.M.
Hashim W.
Islam S.
spellingShingle Hasan M.K.
Ismail A.F.
Abdalla A.-H.
Ramli H.A.M.
Hashim W.
Islam S.
Throughput maximization for the cross-tier interference in heterogeneous network
author_sort Hasan M.K.
title Throughput maximization for the cross-tier interference in heterogeneous network
title_short Throughput maximization for the cross-tier interference in heterogeneous network
title_full Throughput maximization for the cross-tier interference in heterogeneous network
title_fullStr Throughput maximization for the cross-tier interference in heterogeneous network
title_full_unstemmed Throughput maximization for the cross-tier interference in heterogeneous network
title_sort throughput maximization for the cross-tier interference in heterogeneous network
publisher American Scientific Publishers
publishDate 2023
_version_ 1806424438821879808
score 13.211869