التفاصيل البيبلوغرافية
العنوان: |
Spatiotemporal D2D Small Cell Allocation and On-Demand Deployment for Microgrids |
المؤلفون: |
Hao Ran Chi, Maria de Fatima Domingues, Konstantin. I. Kostromitin, Ahmad Almogren, Ayman Radwan |
المصدر: |
IEEE Access, Vol 9, Pp 116830-116844 (2021) |
بيانات النشر: |
IEEE, 2021. |
سنة النشر: |
2021 |
المجموعة: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
مصطلحات موضوعية: |
Small cells, smart grid, on-demand, energy efficiency, cyber-physical systems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
الوصف: |
Microgrids in smart grid development create a new era towards resilient energy supply. In turn, They also render complicated cyber-physical system development towards high scalability and comprehensiveness. Heterogeneous Small Cell based Networks (HSCNs) endow a suitable cyber infrastructure for microgrid based cyber-physical systems. To tackle this emerging research area, this paper proposes a Spatiotemporal Device-to-device communication based HSCN Deployment scheme for Microgrid based Smart grid Development (3xSD), to achieve high energy efficiency with high quality-of-service, chronically and dynamically. Concretely, a joint optimization for long-term energy efficiency and achievable data rate maximization with interference mitigation is formulated for spatial small cell positioning, which models both cyber and physical characteristics of Smart Grid User Equipment (SGUE). A Temporal On-demand Small cell Powering and work-Offloading scheme (TOSPO) is proposed on top of the determined small cell positioning. TOSPO considers the real-time heterogeneous features and demands of SGUEs to maximize energy and cost efficiency, for both communication and computation perspectives. To evaluate the performance of 3xSD, spatial analysis, temporal analysis, and selected case study are simulated. Numerical results showcase that 3xSD is capable of providing both long-term and on-demand optimal energy efficiency and quality-of-service solution for microgrids, outperforming existing benchmarks in the literature. |
نوع الوثيقة: |
article |
وصف الملف: |
electronic resource |
اللغة: |
English |
تدمد: |
2169-3536 |
Relation: |
https://ieeexplore.ieee.org/document/9516005/; https://doaj.org/toc/2169-3536 |
DOI: |
10.1109/ACCESS.2021.3105750 |
URL الوصول: |
https://doaj.org/article/a14fbfff2d3a462f8f6de5d2e71ebe53 |
رقم الانضمام: |
edsdoj.14fbfff2d3a462f8f6de5d2e71ebe53 |
قاعدة البيانات: |
Directory of Open Access Journals |