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Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs
Wu,Yuan1,2; Shi,Binghua3; Qian,Li Ping3,4; Hou,Fen1,5; Cai,Jiali3; Shen,Xuemin Sherman6
2020-07-01
Source PublicationIEEE Transactions on Industrial Informatics
ISSN1551-3203
Volume16Issue:7Pages:4811-4822
Abstract

Driven by the explosive growth in computation-intensive applications in future 5G networks and industries, mobile edge computing (MEC), which enables smart terminals (STs) to offload their computation workloads to nearby edge servers (ESs) in radio access networks, has attracted increasing attention. In this article, we investigate the energy-efficient multitask multiaccess MEC via nonorthogonal multiple access (NOMA). Exploiting NOMA, an ST with multiple tasks can offload the respective computation workloads of different tasks to different ESs simultaneously. To study this problem, we adopt a two-step approach. Specifically, we first consider a given task-ES assignment and formulate a joint optimization of the tasks' computation offloading, local computation-resource allocation, and the NOMA-transmission duration, with the objective of minimizing the ST's total energy consumption for completing all tasks. Next, based on the optimal offloading solution for the given task-ES assignment, we further investigate how to properly assign different tasks to the ESs for further minimizing the ST's total energy consumption. For both the formulated problems, we propose efficient algorithms to compute the respective solutions. Numerical results are provided to validate the effectiveness of our proposed algorithms. The results also show that our proposed NOMA-enabled multitask multiaccess computation offloading can outperform conventional orthogonal multiple access based offloading scheme, especially when the tasks have heavy computation-workload requirements and stringent delay limits.

KeywordEnergy Efficiency Multi-access Mobile Edge Computing Non-orthogonal Multiple Access
DOI10.1109/TII.2019.2944839
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000522523000048
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Scopus ID2-s2.0-85082061186
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Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorQian,Li Ping
Affiliation1.Univ Macau, State Key Lab Internet Things Smart City, Taipa, Macao, Peoples R China
2.Univ Macau, Dept Comp & Informat Sci, Taipa, Macao, Peoples R China
3.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
4.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
5.Univ Macau, Dept Elect & Comp Engn, Taipa, Macao, Peoples R China
6.Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wu,Yuan,Shi,Binghua,Qian,Li Ping,et al. Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs[J]. IEEE Transactions on Industrial Informatics,2020,16(7):4811-4822.
APA Wu,Yuan,Shi,Binghua,Qian,Li Ping,Hou,Fen,Cai,Jiali,&Shen,Xuemin Sherman.(2020).Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs.IEEE Transactions on Industrial Informatics,16(7),4811-4822.
MLA Wu,Yuan,et al."Energy-Efficient Multi-task Multi-access Computation Offloading Via NOMA Transmission for IoTs".IEEE Transactions on Industrial Informatics 16.7(2020):4811-4822.
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