Active Reconfigurable Intelligent Surface for Mobile Edge Computing
This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent the “double path loss” attenuation. We propose a joint comput...
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| Published in: | IEEE wireless communications letters Vol. 11; no. 12; p. 1 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Piscataway
IEEE
01.12.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2162-2337, 2162-2345 |
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| Abstract | This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent the “double path loss” attenuation. We propose a joint computing and communication design to minimize the maximum computational latency (MCL), subject to both the phase shift constraints and the edge computing capability constraints. Specifically, the original problem is decoupled into four subproblems, and then the block coordinate descent (BCD) method and the successive convex approximation (SCA) method are applied to alternately optimize the subproblems. The simulation results show that with the same power budget, the performance gain achieved by the active RIS is much larger than that by the passive RIS. |
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| AbstractList | This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent the “double path loss” attenuation. We propose a joint computing and communication design to minimize the maximum computational latency (MCL), subject to both the phase shift constraints and the edge computing capability constraints. Specifically, the original problem is decoupled into four subproblems, and then the block coordinate descent (BCD) method and the successive convex approximation (SCA) method are applied to alternately optimize the subproblems. The simulation results show that with the same power budget, the performance gain achieved by the active RIS is much larger than that by the passive RIS. |
| Author | Peng, Zhangjie Weng, Ruisong Zhang, Zhenkun Pan, Cunhua Wang, Jiangzhou |
| Author_xml | – sequence: 1 givenname: Zhangjie orcidid: 0000-0002-1363-7022 surname: Peng fullname: Peng, Zhangjie organization: College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China – sequence: 2 givenname: Ruisong surname: Weng fullname: Weng, Ruisong organization: College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China – sequence: 3 givenname: Zhenkun orcidid: 0000-0001-9766-9277 surname: Zhang fullname: Zhang, Zhenkun organization: College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China – sequence: 4 givenname: Cunhua orcidid: 0000-0001-5286-7958 surname: Pan fullname: Pan, Cunhua organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China – sequence: 5 givenname: Jiangzhou orcidid: 0000-0003-0881-3594 surname: Wang fullname: Wang, Jiangzhou organization: School of Engineering, University of Kent, Canterbury, U.K |
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| Cites_doi | 10.1109/LCOMM.2021.3110714 10.1109/TWC.2020.3002891 10.1109/COMST.2017.2745201 10.1137/1.9780898718829 10.1109/LWC.2022.3193868 10.1109/JPROC.2018.2867029 10.1109/LCOMM.2022.3159525 10.1109/JSAC.2020.3007035 10.1109/TCOMM.2016.2599530 10.1109/TCOMM.2021.3051897 10.1109/TSP.2011.2147784 10.1017/CBO9780511804441 10.1109/MWC.001.2100142 10.1109/LWC.2020.3040607 10.1109/LWC.2021.3111044 10.1109/JIOT.2016.2579198 10.1109/TWC.2021.3064024 10.1109/TWC.2022.3206332 10.1109/TVT.2021.3135498 |
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| Snippet | This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS... |
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| SubjectTerms | active RIS Array signal processing Computational modeling Edge computing Internet of things latency minimization Mobile computing Mobile edge computing (MEC) Optimized production technology Performance gain reconfigurable intelligent surface (RIS) Reconfigurable intelligent surfaces Resource management Servers Task analysis |
| Title | Active Reconfigurable Intelligent Surface for Mobile Edge Computing |
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