An Efficient Communication and Computation Resources Sharing in Information-Centric 6G Networks
- Authors
- Imran, Muhammad; Ali, Muhammad Nadeem; Din, Muhammad Salah Ud; Rehman, Muhammad Atif Ur; Kim, Byung-Seo
- Issue Date
- 2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- 6G; 6G mobile communication; Bandwidth; Computer architecture; Information-Centric Networking; Microservice architectures; Named Data Networking; networks slices; Resource allocation; Resource management; TCPIP; Ultra reliable low latency communication
- Citation
- IEEE Internet of Things Journal, pp 1 - 1
- Pages
- 1
- Journal Title
- IEEE Internet of Things Journal
- Start Page
- 1
- End Page
- 1
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/33196
- DOI
- 10.1109/JIOT.2024.3397674
- ISSN
- 2327-4662
- Abstract
- To efficiently allocate communication and computation resources among enhanced Mobile Broadband (eMBB) and ultra–Reliable Low Latency Communication (uRLLC) applications, this article proposes a joint communication and computation resource allocation scheme in 6th Generation (6G) Information-Centric Networks named: CCR-ICN. To achieve efficient communication and computation resources sharing, the CCR-ICN scheme designs a microservice-centric Interest naming structure to enable named-based communication. Furthermore, the CCR-ICN scheme designs a robust forwarding strategy specifically tailored to efficiently allocate communication resources such as bandwidth among eMBB and uRLLC application requests. In addition, for the allocation of computation resources, the proposed scheme designs a priority-driven computation resources allocation mechanism ensuring effective allocation of Multi-Access Edge Computing (MEC) computation resources. To evaluate the proposed scheme, we performed extensive simulations in a widely used ns-3-based ndnSIM simulator and the results reveal the CCR-ICN achieves 66.82% higher communication resource allocation, and a 17.51% lower communication overhead compared to the TS-6G scheme. Moreover, the CCR-ICN performs computation request satisfaction at 42.03% and 12.72% higher than the TS-6G and EWFQ/LC schemes respectively. Furthermore, the CCR-ICN achieves computation resource utilization of 35.54% and 21.63% lower than the EWFQ/LC and TS-6G schemes respectively. IEEE
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Collections - Graduate School > Software and Communications Engineering > 1. Journal Articles
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