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Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks

Authors
Hasan, Najam UlEjaz, WaleedEjaz, NaveedKim, Hyung SeokAnpalagan, AlaganJo, Minho
Issue Date
2016
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Channel allocation; network selection; 5G heterogeneous networks; optimization
Citation
IEEE ACCESS, v.4, pp.980 - 992
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
4
Start Page
980
End Page
992
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/90250
DOI
10.1109/ACCESS.2016.2533394
ISSN
2169-3536
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.
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