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AuthorAbdellatif A.A.
AuthorAllahham M.S.
AuthorMohamed A.
AuthorErbad A.
AuthorGuizani M.
Available date2022-04-21T08:58:21Z
Publication Date2021
Publication NameIEEE International Conference on Communications
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ICC42927.2021.9500548
URIhttp://hdl.handle.net/10576/30061
AbstractThe rapid production of mobile and wearable devices along with the wireless applications boom is continuing to evolve everyday. This motivates network operators to integrate and exploit wireless spectrum across multiple radio access networks to cope with such intensive demand, while improving quality of service. However, it is crucial to develop innovative network selection techniques that consider heterogeneous networks characteristics, while meeting applications' quality requirements. Thus, this paper develops an optimal network selection with resource allocation scheme over heterogeneous networks that aims to optimize the latency, cost, and energy consumption, while accounting for data compression at the edge. Indeed, our framework could significantly enhance the performance of wireless healthcare systems by enabling data transfer from patients edge nodes to the cloud in cost-effective and energy-efficient manner, while maintaining strict Quality of Service (QoS) requirements of health applications. Our simulation results depict that our solution significantly outperforms state-of- the-art techniques in terms of energy consumption, latency, and cost. 2021 IEEE.
SponsorQatar Foundation;Qatar National Research Fund
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCost effectiveness
Data transfer
Edge computing
Energy efficiency
Energy utilization
Health care
Quality of service
Rats
Resource allocation
Edge computing
Energy-consumption
Healthcare systems
Internet of mobile thing
Multi-RAT architecture
Network selection
Optimal networks
Quality-of-service
Wireless healthcare system
Wireless healthcares
Heterogeneous networks
TitleONSRA: An Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems
TypeConference Paper


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