Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/620274
Title: Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks
Authors: Najam Ul Hasan;Waleed Ejaz;Naveed Ejaz;Hyung Seok Kim;Alagan Anpalagan;Minho Jo
subject: Channel allocation|network selection|optimization
Year: 2016
Publisher: IEEE
Abstract: The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network's perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. This paper presents a network selection and channel allocation mechanism in order to increase revenue by accommodating more SUs and catering to their preferences, while at the same time, respecting the primary network operator's policies. An optimization problem is formulated in order to minimize accumulated interference incurred to licensed users and the amount that SUs have to pay for using the primary network. The aim is to provide SUs with a specific QoS at a lower price, subject to the interference constraints of each available network with idle channels. Particle swarm optimization and a modified version of the genetic algorithm are used to solve the optimization problem. Finally, this paper is supported by extensive simulation results that illustrate the effectiveness of the proposed methods in finding a near-optimal solution.
Description: 
URI: http://localhost/handle/Hannan/149205
http://localhost/handle/Hannan/620274
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

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Title: Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks
Authors: Najam Ul Hasan;Waleed Ejaz;Naveed Ejaz;Hyung Seok Kim;Alagan Anpalagan;Minho Jo
subject: Channel allocation|network selection|optimization
Year: 2016
Publisher: IEEE
Abstract: The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network's perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. This paper presents a network selection and channel allocation mechanism in order to increase revenue by accommodating more SUs and catering to their preferences, while at the same time, respecting the primary network operator's policies. An optimization problem is formulated in order to minimize accumulated interference incurred to licensed users and the amount that SUs have to pay for using the primary network. The aim is to provide SUs with a specific QoS at a lower price, subject to the interference constraints of each available network with idle channels. Particle swarm optimization and a modified version of the genetic algorithm are used to solve the optimization problem. Finally, this paper is supported by extensive simulation results that illustrate the effectiveness of the proposed methods in finding a near-optimal solution.
Description: 
URI: http://localhost/handle/Hannan/149205
http://localhost/handle/Hannan/620274
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7415970.pdf6.7 MBAdobe PDFThumbnail
Preview File
Title: Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks
Authors: Najam Ul Hasan;Waleed Ejaz;Naveed Ejaz;Hyung Seok Kim;Alagan Anpalagan;Minho Jo
subject: Channel allocation|network selection|optimization
Year: 2016
Publisher: IEEE
Abstract: The demand for spectrum resources has increased dramatically with the advent of modern wireless applications. Spectrum sharing, considered as a critical mechanism for 5G networks, is envisioned to address spectrum scarcity issue and achieve high data rate access, and guaranteed the quality of service (QoS). From the licensed network's perspective, the interference caused by all secondary users (SUs) should be minimized. From secondary networks point of view, there is a need to assign networks to SUs in such a way that overall interference is reduced, enabling the accommodation of a growing number of SUs. This paper presents a network selection and channel allocation mechanism in order to increase revenue by accommodating more SUs and catering to their preferences, while at the same time, respecting the primary network operator's policies. An optimization problem is formulated in order to minimize accumulated interference incurred to licensed users and the amount that SUs have to pay for using the primary network. The aim is to provide SUs with a specific QoS at a lower price, subject to the interference constraints of each available network with idle channels. Particle swarm optimization and a modified version of the genetic algorithm are used to solve the optimization problem. Finally, this paper is supported by extensive simulation results that illustrate the effectiveness of the proposed methods in finding a near-optimal solution.
Description: 
URI: http://localhost/handle/Hannan/149205
http://localhost/handle/Hannan/620274
ISSN: 2169-3536
volume: 4
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7415970.pdf6.7 MBAdobe PDFThumbnail
Preview File