Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks
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 servic...
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doaj-c2c9ad3f8ce340f7a55db577729f03a82021-03-29T19:37:50ZengIEEEIEEE Access2169-35362016-01-01498099210.1109/ACCESS.2016.25333947415970Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous NetworksNajam Ul Hasan0Waleed Ejaz1Naveed Ejaz2Hyung Seok Kim3Alagan Anpalagan4Minho Jo5Department of Electrical and Computer Engineering, Dhofar University, Salalah, OmanDepartment of Electrical and Computer Engineering, Ryerson University, Toronto, ON, CanadaDepartment of Computer ScienceCollege of Science in Zulfi, Majmaah University, Al Majma’ah, Saudi ArabiaDepartment of Information and Communication Engineering, Sejong University, Seoul, South KoreaDepartment of Electrical and Computer Engineering, Ryerson University, Toronto, ON, CanadaDepartment of Computer and Information Science, Korea University, Seoul, South KoreaThe 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.https://ieeexplore.ieee.org/document/7415970/Channel allocationnetwork selectionoptimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Najam Ul Hasan Waleed Ejaz Naveed Ejaz Hyung Seok Kim Alagan Anpalagan Minho Jo |
spellingShingle |
Najam Ul Hasan Waleed Ejaz Naveed Ejaz Hyung Seok Kim Alagan Anpalagan Minho Jo Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks IEEE Access Channel allocation network selection optimization |
author_facet |
Najam Ul Hasan Waleed Ejaz Naveed Ejaz Hyung Seok Kim Alagan Anpalagan Minho Jo |
author_sort |
Najam Ul Hasan |
title |
Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
title_short |
Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
title_full |
Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
title_fullStr |
Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
title_full_unstemmed |
Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
title_sort |
network selection and channel allocation for spectrum sharing in 5g heterogeneous networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2016-01-01 |
description |
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. |
topic |
Channel allocation network selection optimization |
url |
https://ieeexplore.ieee.org/document/7415970/ |
work_keys_str_mv |
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1724195968663945216 |