Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Carrillo, Dick; Kalalas, Charalampos; Raussi, Petra; Michalopoulos, Diomidis S.; Rodríguez, Demóstenes Zegarra; Kokkoniemi-Tarkkanen, Heli; Ahola, Kimmo; Nardelli, Pedro H. J.; Fraidenraich, Gustavo; Popovski, Petar

doi:10.1109/mwc.004.2200079

Cited by 14 publications

(6 citation statements)

References 11 publications

(12 reference statements)

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“…The Metaverse, a virtual world, can also contribute to energy management by providing an interactive platform for users to monitor and manage their energy consumption using smart devices and IoT infrastructure. This integration can also benefit energy providers, who can optimize their energy production and distribution processes with real-time data from IoT sensors, resulting in more efficient resource utilization, reduced energy waste, and lower costs for both end-users and providers [ 3 ].…”

Section: Discussionmentioning

confidence: 99%

“…In this regard, the integration of 5G-enabled IoT in edge computing smart grids and the Metaverse can indeed enhance the efficacy of energy management. Smart grids can use sensors and meters to collect real-time data on energy consumption and generation by different nodes, which can then be analyzed and used to optimize the distribution and utilization of energy [ 3 , 30 ]. The use of IoT infrastructure can also enable the remote control of energy consumption and generation devices, allowing for more efficient energy usage.…”

Section: A Framework For 5g-enabled Iotmentioning

confidence: 99%

“…These sensors and devices are used in many different industries to gather important data that impact business decisions [ 2 ]. Advanced research is being conducted to process the large volume of data that is collected in real-time, and has high variability to extract meaningful insights that meet the needs of various business domains, particularly when it comes to the Metaverse [ 3 , 4 , 5 ]. With the emergence of the 5G-enabled Internet of Things (IoT) and industrial IoT environments, big data analytics present diverse opportunities to analyze data patterns and generate new results, providing large organizations with the necessary tools to make informed decisions [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

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A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart Grid Edge Computing and the Metaverse

Jamshidi

Yahya

Nouri

et al. 2023

Sensors

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Global concerns regarding environmental preservation and energy sustainability have emerged due to the various impacts of constantly increasing energy demands and climate changes. With advancements in smart grid, edge computing, and Metaverse-based technologies, it has become apparent that conventional private power networks are insufficient to meet the demanding requirements of industrial applications. The unique capabilities of 5G, such as numerous connections, high reliability, low latency, and large bandwidth, make it an excellent choice for smart grid services. The 5G network industry will heavily rely on the Internet of Things (IoT) to progress, which will act as a catalyst for the development of the future smart grid. This comprehensive platform will not only include communication infrastructure for smart grid edge computing, but also Metaverse platforms. Therefore, optimizing the IoT is crucial to achieve a sustainable edge computing network. This paper presents the design, fabrication, and evaluation of a super-efficient GSM triplexer for 5G-enabled IoT in sustainable smart grid edge computing and the Metaverse. This component is intended to operate at 0.815/1.58/2.65 GHz for 5G applications. The physical layout of our triplexer is new, and it is presented for the first time in this work. The overall size of our triplexer is only 0.007 λg2, which is the smallest compared to the previous works. The proposed triplexer has very low insertion losses of 0.12 dB, 0.09 dB, and 0.42 dB at the first, second, and third channels, respectively. We achieved the minimum insertion losses compared to previous triplexers. Additionally, the common port return losses (RLs) were better than 26 dB at all channels.

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Section: Discussionmentioning

confidence: 99%

Section: A Framework For 5g-enabled Iotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart Grid Edge Computing and the Metaverse

Jamshidi

Yahya

Nouri

et al. 2023

Sensors

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“…SGs make 5G an ideal ground for deployment with URLLC being the main driver for data communication [52]. URLLC is used for a variety of functions in SGs [53] including distribution automation [36], privacy and security [54], demand response scheduling [55] and wide area energy monitoring [25] [56].…”

Section: C1 Role Of Urllc In Sgsmentioning

confidence: 99%

Leveraging 5G Network Capabilities for Smart Grid Communication

Bhat

2024

jes

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This paper presents a comprehensive investigation into the architecture and components of 5G networks, focusing on their suitability for smart grid applications. With the increasing complexity and demands of modern energy infrastructure, there is a growing need for reliable and low-latency communication systems to support critical smart grid operations. This paper explores key features of 5G networks, including network slicing, massive MIMO (Multiple Input Multiple Output), and low-latency communication protocols like URLLC (Ultra-Reliable Low Latency Communication), and examines how these features can be harnessed to address the unique requirements of smart grid environments. Through a detailed analysis of each component, this paper sheds light on the design considerations, deployment strategies, and performance implications of leveraging 5G technology for smart grid communication. Furthermore, practical insights, challenges, and future research areas are discussed to guide the development of next-generation smart grid solutions.

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“…This means that antennas in both devices and BSs must be designed to cope with the complexity of aiming a beam at a specific cellular environment, including significant physical and virtual obstructions. Another challenge is verifying the strength of the beamforming signal at the physical RF antenna [17]. This is essential to validating the correctness of the beamforming weighting algorithm.…”

Section: Challenges In 5g and 6g Developmentmentioning

confidence: 99%

Automatic Recognition of Beam Attachment for Massive MIMO System in Densely Distributed Renewable Energy Resources

Alaerjan

2023

Sustainability

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Several large-scale and distributed systems such as renewable energy systems (RESs) require ubiquitous and reliable communication. RESs are designed to provide efficient power management and improve both energy production and consumption. Decision making in RESs heavily depends on real-time communication. Fifth and sixth-generation (5G, 6G) wireless networks promise to deliver significant communication advantages to RESs including ultra-low latency, high throughput and improved coverage. However, the communication behavior in RESs is categorized as unpredictable due to aspects such as system flexibility and equipment heterogeneity. This may affect the stability of the entire RES, which results in further issues such as signal reliability and degraded coverage. Therefore, precise identification of user equipment’s (UE) location greatly improves the sustainability of 5G and 6G wireless services. In this work, we propose a novel low-complexity technique to automatically recognize UE locations in an area of interest. The approach aims at providing precise identification of UE with minimum memory and feature requirements. We use the lazy learning approach to build a prediction model to construct beam-attachment maps. We then train the model to provide distributed intelligent models to automatically recognize beam-attachment indexes. We compare the proposed approach with instance-based techniques to measure its ability at predicting beam-attachment maps. The results show that the proposed model has the ability to provide an accurate prediction with respect to the beam-attachment index (around 100%) with minimal complexity.

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Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach

Cited by 14 publications

References 11 publications

A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart Grid Edge Computing and the Metaverse

A Super-Efficient GSM Triplexer for 5G-Enabled IoT in Sustainable Smart Grid Edge Computing and the Metaverse

Leveraging 5G Network Capabilities for Smart Grid Communication

Automatic Recognition of Beam Attachment for Massive MIMO System in Densely Distributed Renewable Energy Resources

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