Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks

Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring the quality of service (QoS) level. Owing to the...

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Autores principales:	Mostafa Zaman Chowdhury, Md. Tanvir Hossan, Yeong Min Jang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Interference frequency band reassigning quality of service (QoS) RT traffic nRT traffic macrocell Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/8f1530734b5d4a929d714da20c76e8b7
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spelling	oai:doaj.org-article:8f1530734b5d4a929d714da20c76e8b72021-11-19T00:02:04ZInterference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks2169-353610.1109/ACCESS.2018.2844843https://doaj.org/article/8f1530734b5d4a929d714da20c76e8b72018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8400388/https://doaj.org/toc/2169-3536Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring the quality of service (QoS) level. Owing to the coexistence of different types of traffic (e.g., real-time (RT) and non-real-time (nRT)) and different types of networks (e.g., small cell and macrocell), ensuring the QoS level for different types of users becomes a challenging issue in wireless networks. Fractional frequency reuse (FFR) is an effective approach for increasing spectrum utilization and reducing interference effects in orthogonal frequency division multiple access networks. In this paper, we propose a new FFR scheme in which bandwidth allocation is based on RT/nRT traffic classification. We consider the coexistence of small cells and macrocells. After applying FFR technique in macrocells, the remaining frequency bands are efficiently allocated among the small cells overlaid by a macrocell. In our proposed scheme, total frequency-band allocations for different macrocells are decided on the basis of the traffic intensity. The transmitted power levels for different frequency bands are controlled based on the level of interference from a nearby frequency band. Frequency bands with a lower level of interference are assigned to the RT traffic to ensure a higher QoS level for the RT traffic. RT traffic calls in macrocell networks are also given a higher priority compared with nRT traffic calls to ensure the low call-blocking rate. Performance analyses show significant improvement under the proposed scheme compared with conventional FFR schemes.Mostafa Zaman ChowdhuryMd. Tanvir HossanYeong Min JangIEEEarticleInterferencefrequency band reassigningquality of service (QoS)RT trafficnRT trafficmacrocellElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 6, Pp 31340-31358 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Interference frequency band reassigning quality of service (QoS) RT traffic nRT traffic macrocell Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Interference frequency band reassigning quality of service (QoS) RT traffic nRT traffic macrocell Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mostafa Zaman Chowdhury Md. Tanvir Hossan Yeong Min Jang Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
description	Cellular networks are constantly lagging in terms of the bandwidth needed to support the growing high data rate demands. The system needs to efficiently allocate its frequency spectrum such that the spectrum utilization can be maximized while ensuring the quality of service (QoS) level. Owing to the coexistence of different types of traffic (e.g., real-time (RT) and non-real-time (nRT)) and different types of networks (e.g., small cell and macrocell), ensuring the QoS level for different types of users becomes a challenging issue in wireless networks. Fractional frequency reuse (FFR) is an effective approach for increasing spectrum utilization and reducing interference effects in orthogonal frequency division multiple access networks. In this paper, we propose a new FFR scheme in which bandwidth allocation is based on RT/nRT traffic classification. We consider the coexistence of small cells and macrocells. After applying FFR technique in macrocells, the remaining frequency bands are efficiently allocated among the small cells overlaid by a macrocell. In our proposed scheme, total frequency-band allocations for different macrocells are decided on the basis of the traffic intensity. The transmitted power levels for different frequency bands are controlled based on the level of interference from a nearby frequency band. Frequency bands with a lower level of interference are assigned to the RT traffic to ensure a higher QoS level for the RT traffic. RT traffic calls in macrocell networks are also given a higher priority compared with nRT traffic calls to ensure the low call-blocking rate. Performance analyses show significant improvement under the proposed scheme compared with conventional FFR schemes.
format	article
author	Mostafa Zaman Chowdhury Md. Tanvir Hossan Yeong Min Jang
author_facet	Mostafa Zaman Chowdhury Md. Tanvir Hossan Yeong Min Jang
author_sort	Mostafa Zaman Chowdhury
title	Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
title_short	Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
title_full	Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
title_fullStr	Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
title_full_unstemmed	Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks
title_sort	interference management based on rt/nrt traffic classification for ffr-aided small cell/macrocell heterogeneous networks
publisher	IEEE
publishDate	2018
url	https://doaj.org/article/8f1530734b5d4a929d714da20c76e8b7
work_keys_str_mv	AT mostafazamanchowdhury interferencemanagementbasedonrtnrttrafficclassificationforffraidedsmallcellmacrocellheterogeneousnetworks AT mdtanvirhossan interferencemanagementbasedonrtnrttrafficclassificationforffraidedsmallcellmacrocellheterogeneousnetworks AT yeongminjang interferencemanagementbasedonrtnrttrafficclassificationforffraidedsmallcellmacrocellheterogeneousnetworks
_version_	1718420679167049728

Interference Management Based on RT/nRT Traffic Classification for FFR-Aided Small Cell/Macrocell Heterogeneous Networks

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