Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks
In this day and age, the Industrial Internet of Things (IIoT) has been considered to revolutionize industrial manufacturing by capturing and accessing massive data sources with incredible speed and efficiency than before. Combined with it, Mobile Edge Computing (MEC) is a comprehensive Digital Trans...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
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Elsevier
2023-09-01
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| Colección: | Alexandria Engineering Journal |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S1110016823006075 |
| _version_ | 1827819220424982528 |
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| author | Van-Truong Truong Dac-Binh Ha Anand Nayyar Muhammad Bilal Daehan Kwak |
| author_facet | Van-Truong Truong Dac-Binh Ha Anand Nayyar Muhammad Bilal Daehan Kwak |
| author_sort | Van-Truong Truong |
| collection | DOAJ |
| description | In this day and age, the Industrial Internet of Things (IIoT) has been considered to revolutionize industrial manufacturing by capturing and accessing massive data sources with incredible speed and efficiency than before. Combined with it, Mobile Edge Computing (MEC) is a comprehensive Digital Transformation tendency to solve the problems Cloud computing faces. However, the fundamental challenges of energy and latency make deploying IIoT MEC networks difficult. Accordingly, this paper considers the efficient design of time allocation for successful computation probability (SCP) maximization for multiple energy-constrained mobile devices (MD) and multiple antennas access point (AP) in uplink radio frequency energy harvesting (RF EH) non-orthogonal multiple access (NOMA) IIoT network. Specifically, multiple MDs need to receive the energy and compute support of a MEC server placed in a multiple antenna wireless AP to complete the task immediately. Accordingly, a four-phase communication protocol is proposed to ensure system performance. The system follows the cluster head (CH) scheme based on the channel state information (CSI) to harvest RF energy from the AP. To ensure the highest system performance, we propose two algorithms for determining the optimal EH time for two CHs: SCPM-GSS and SCPM-GA. In addition, we derive the closed-form expressions for the SCP of the system and each CH. Monte Carlo simulations are used to verify the results of the analysis. The numerical results demonstrate the effects of crucial system parameters of our proposed NOMA scheme with those of conventional orthogonal multiple access (OMA) schemes. Furthermore, the proposed optimization algorithms allow the system to avoid outages like the random parameters setting approach and improve the SCP by 3 to 30% compared to the fixed parameters set when the transmit power is low and medium. |
| first_indexed | 2024-03-12T01:10:58Z |
| format | Article |
| id | doaj.art-a2091939e63e4b51a629080c6f84fef8 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-03-12T01:10:58Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-a2091939e63e4b51a629080c6f84fef82023-09-14T04:53:06ZengElsevierAlexandria Engineering Journal1110-01682023-09-0179120Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networksVan-Truong Truong0Dac-Binh Ha1Anand Nayyar2Muhammad Bilal3Daehan Kwak4Faculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Viet Nam; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet NamFaculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Viet Nam; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet NamGraduate School, and Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet NamDepartment of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin, 17035, South Korea; Corresponding author.Department of Computer Science and Technology, Kean University, NJ, 07083, USA; Corresponding author.In this day and age, the Industrial Internet of Things (IIoT) has been considered to revolutionize industrial manufacturing by capturing and accessing massive data sources with incredible speed and efficiency than before. Combined with it, Mobile Edge Computing (MEC) is a comprehensive Digital Transformation tendency to solve the problems Cloud computing faces. However, the fundamental challenges of energy and latency make deploying IIoT MEC networks difficult. Accordingly, this paper considers the efficient design of time allocation for successful computation probability (SCP) maximization for multiple energy-constrained mobile devices (MD) and multiple antennas access point (AP) in uplink radio frequency energy harvesting (RF EH) non-orthogonal multiple access (NOMA) IIoT network. Specifically, multiple MDs need to receive the energy and compute support of a MEC server placed in a multiple antenna wireless AP to complete the task immediately. Accordingly, a four-phase communication protocol is proposed to ensure system performance. The system follows the cluster head (CH) scheme based on the channel state information (CSI) to harvest RF energy from the AP. To ensure the highest system performance, we propose two algorithms for determining the optimal EH time for two CHs: SCPM-GSS and SCPM-GA. In addition, we derive the closed-form expressions for the SCP of the system and each CH. Monte Carlo simulations are used to verify the results of the analysis. The numerical results demonstrate the effects of crucial system parameters of our proposed NOMA scheme with those of conventional orthogonal multiple access (OMA) schemes. Furthermore, the proposed optimization algorithms allow the system to avoid outages like the random parameters setting approach and improve the SCP by 3 to 30% compared to the fixed parameters set when the transmit power is low and medium.http://www.sciencedirect.com/science/article/pii/S1110016823006075Mobile edge computingRadio frequency energy harvestingNon-orthogonal multiple accessMultiple usersIIoTOptimization |
| spellingShingle | Van-Truong Truong Dac-Binh Ha Anand Nayyar Muhammad Bilal Daehan Kwak Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks Alexandria Engineering Journal Mobile edge computing Radio frequency energy harvesting Non-orthogonal multiple access Multiple users IIoT Optimization |
| title | Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks |
| title_full | Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks |
| title_fullStr | Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks |
| title_full_unstemmed | Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks |
| title_short | Performance analysis and optimization of multiple IIoT devices radio frequency energy harvesting NOMA mobile edge computing networks |
| title_sort | performance analysis and optimization of multiple iiot devices radio frequency energy harvesting noma mobile edge computing networks |
| topic | Mobile edge computing Radio frequency energy harvesting Non-orthogonal multiple access Multiple users IIoT Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S1110016823006075 |
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