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NOMA-Enabled Delay Minimization for Marine Multi-access Edge Computing Networks: A Contract Incentive Scheme
Luo Zhishen1; Dai Minghui1; Wu Yuan1,2; Qian Liping3; Lin Bin4; Su Zhou5
2023-09
Conference Name24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Source PublicationIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Pages131-135
Conference Date2023/09/25-2023/09/28
Conference PlaceShanghai
Abstract

With the continuous improvement of smart oceans, marine networks become more intelligent and efficient in monitoring marine environments and marine resources. However, the limited communication resources (such as bandwidth, battery capacity, etc.) of marine wireless devices have become the major bottleneck problems of marine networks. Additionally, the rationality of marine communication devices lead to the fact that they are not to perform tasks voluntarily. To address these issues, in this paper, we investigate a contract incentive scheme for non-orthogonal multiple access (NOMA) enabled delay minimization for marine multi-access edge computing (MEC) networks. Specifically, we formulate the utility optimization problems for unmanned surface vessels (USVs) and unmanned aerial vehicles (UAVs), respectively. To solve the optimization problems, we propose innovative algorithms which can maximize the utility of each party. We conduct simulation results to verify the performance of the algorithms, and the result shows its efficiency and effectiveness.

KeywordComputation Offloading Contract Incentive Marine Multi-access Edge Computing Noma
DOI10.1109/SPAWC53906.2023.10304527
URLView the original
Language英語English
Scopus ID2-s2.0-85178646172
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Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu Yuan
Affiliation1.University of Macau, State Key Laboratory of Internet of Things for Smart City, Macao
2.Zhuhai Um Science & Technology Research Institute, Zhuhai, China
3.Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
4.Dalian Maritime University, Department of Communication Engineering, Dalian, China
5.Xi'an Jiaotong University, School of Cyber Science and Engineering, Xi'an, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Luo Zhishen,Dai Minghui,Wu Yuan,et al. NOMA-Enabled Delay Minimization for Marine Multi-access Edge Computing Networks: A Contract Incentive Scheme[C], 2023, 131-135.
APA Luo Zhishen., Dai Minghui., Wu Yuan., Qian Liping., Lin Bin., & Su Zhou (2023). NOMA-Enabled Delay Minimization for Marine Multi-access Edge Computing Networks: A Contract Incentive Scheme. IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 131-135.
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