Computation Offloading and Resource Allocation Optimization for Mobile Edge Computing-Aided UAV-RIS Communications Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1109/access.2024.3435483
The concept of Mobile Edge Computing (MEC) has been recently highlighted as a key enabling technology for the deployment of sixth-generation (6G) wireless network services. On the other hand, the possibility of combining Unmanned Aerial Vehicles (UAV) with Reconfigurable Intelligent Surfaces (RIS) has also been recognized as a powerful communication paradigm able to provide improved propagation characteristics of wireless communication channels, as well as increased capacity and extended coverage. Then, the possibility of merging the characteristics of such a communication paradigm with the one provided through MEC represents a valid solution to fulfill the main requirements of 6G networks. In this paper, we consider the combination of computation offloading and resource allocation in an MEC-based system where the MEC server is hosted by a massive MIMO base station, which serves multiple macro-cells assisted by a UAV-equipped RIS. In this context, we focus on minimising the latency for executing tasks of all user equipment (UE) within the considered scenario. To tackle this problem, we formulate an optimisation problem that jointly optimises computation offloading from user equipment (UE) towards the MEC server, and communication resources in the underlying UAV-assisted and RIS-aided network. The extensive simulation results demonstrate how the proposed method outperforms in terms of providing reduced latency for the considered system when compared with other conventional schemes.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3435483
- OA Status
- gold
- Cited By
- 8
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401070012
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401070012Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2024.3435483Digital Object Identifier
- Title
-
Computation Offloading and Resource Allocation Optimization for Mobile Edge Computing-Aided UAV-RIS CommunicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Phuc Quang Truong, Tan Do‐Duy, Antonino Masaracchia, Nguyen‐Son Vo, Van-Ca Phan, Dac‐Binh Ha, Trung Q. DuongList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2024.3435483Publisher landing page
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2024.3435483Direct OA link when available
- Concepts
-
Computer science, Mobile edge computing, User equipment, Computation offloading, Edge computing, Distributed computing, Wireless, Wireless network, Base station, Computer network, Resource allocation, Context (archaeology), Software deployment, Cellular network, Server, Enhanced Data Rates for GSM Evolution, Telecommunications, Operating system, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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