Resource allocation strategy for blockchain-enabled NOMA-based MEC networks
Abstract Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud compu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-10-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-023-00497-5 |
| _version_ | 1797556420784160768 |
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| author | Jianjie Ding Lina Han Jie Li Dajun Zhang |
| author_facet | Jianjie Ding Lina Han Jie Li Dajun Zhang |
| author_sort | Jianjie Ding |
| collection | DOAJ |
| description | Abstract Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud computing capabilities to mobile devices. Non-orthogonal multiple access (NOMA) exploits the diversity properties in the power domain to further increase system throughput and spectral efficiency. In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization, user clustering, computing resource and transmit power allocation. In order to effectively figure out this non-convex problem, we first propose a offloading decision and user clustering algorithm, and then propose a computing resource allocation algorithm based on user Quality of Service (QoS) requirements. Finally, the transmission power can be easily determined. The numerical simulation results verify that the proposed joint optimization algorithm can effectively decrease the system energy consumption. |
| first_indexed | 2024-03-10T17:01:36Z |
| format | Article |
| id | doaj.art-19701d8192dc47c98d9da2c2437ff1ea |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-03-10T17:01:36Z |
| publishDate | 2023-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-19701d8192dc47c98d9da2c2437ff1ea2023-11-20T10:56:07ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2023-10-0112111110.1186/s13677-023-00497-5Resource allocation strategy for blockchain-enabled NOMA-based MEC networksJianjie Ding0Lina Han1Jie Li2Dajun Zhang3School of Mathematics and Statistic, Shaanxi XueQian Normal UniversitySchool of Mathematics and Statistic, Shaanxi XueQian Normal UniversitySchool of Physical Education, Xi’an Fanyi UniversitySchool of Information Technology, Carleton UniversityAbstract Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud computing capabilities to mobile devices. Non-orthogonal multiple access (NOMA) exploits the diversity properties in the power domain to further increase system throughput and spectral efficiency. In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization, user clustering, computing resource and transmit power allocation. In order to effectively figure out this non-convex problem, we first propose a offloading decision and user clustering algorithm, and then propose a computing resource allocation algorithm based on user Quality of Service (QoS) requirements. Finally, the transmission power can be easily determined. The numerical simulation results verify that the proposed joint optimization algorithm can effectively decrease the system energy consumption.https://doi.org/10.1186/s13677-023-00497-5Mobile edge computingNon-orthogonal multiple accessResource allocationPower control |
| spellingShingle | Jianjie Ding Lina Han Jie Li Dajun Zhang Resource allocation strategy for blockchain-enabled NOMA-based MEC networks Journal of Cloud Computing: Advances, Systems and Applications Mobile edge computing Non-orthogonal multiple access Resource allocation Power control |
| title | Resource allocation strategy for blockchain-enabled NOMA-based MEC networks |
| title_full | Resource allocation strategy for blockchain-enabled NOMA-based MEC networks |
| title_fullStr | Resource allocation strategy for blockchain-enabled NOMA-based MEC networks |
| title_full_unstemmed | Resource allocation strategy for blockchain-enabled NOMA-based MEC networks |
| title_short | Resource allocation strategy for blockchain-enabled NOMA-based MEC networks |
| title_sort | resource allocation strategy for blockchain enabled noma based mec networks |
| topic | Mobile edge computing Non-orthogonal multiple access Resource allocation Power control |
| url | https://doi.org/10.1186/s13677-023-00497-5 |
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