Device-to-device communication for Smart Grid devices

Fey, Simon; Benoit, Pascal; Rohbogner, Gregor; Christ, Andreas; Wittwer, Christof

doi:10.1109/isgteurope.2012.6465751

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…We believe D2D communication can have more applications in the telecommunication world. For example, it would be interesting to see the application of D2D communication in social networking, location-aware services, vehicular networks, smart grids [108], [109], etc.…”

Section: F Potential Future Workmentioning

confidence: 99%

A Survey on Device-to-Device Communication in Cellular Networks

Asadi

Wang

Mancuso

2014

IEEE Commun. Surv. Tutorials

1,964

1,108

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Section: F Potential Future Workmentioning

confidence: 99%

A Survey on Device-to-Device Communication in Cellular Networks

Asadi

Wang

Mancuso

2014

IEEE Commun. Surv. Tutorials

1,964

1,108

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“…Various other use cases that can be supported by D2D communications, include location-aware services, social networking, smart grids [94], [97], e-health, smart city etc. Some use cases of D2D communication have also been addressed in [54].…”

Section: Interferencementioning

confidence: 99%

Device-to-Device Communication in Cellular Networks: A Survey

Gandotra

Jha

2016

Journal of Network and Computer Applications

259

123

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Abstract-A constant need to increase the network capacity for meeting the growing demands of the subscribers has led to the evolution of cellular communication networks from the first generation (1G) to the fifth generation (5G). There will be billions of connected devices in the near future. Such a large number of connections are expected to be heterogeneous in nature, demanding higher data rates, lesser delays, enhanced system capacity and superior throughput. The available spectrum resources are limited and need to be flexibly used by the mobile network operators (MNOs) to cope with the rising demands. An emerging facilitator of the upcoming high data rate demanding next generation networks (NGNs) is device-to-device (D2D) communication. An extensive survey on device-to-device (D2D) communication has been presented in this paper, including the plus points it offers; the key open issues associated with it like peer discovery, resource allocation etc, demanding special attention of the research community; some of its integrant technologies like millimeter wave D2D (mmWave), ultra dense networks (UDNs), cognitive D2D, handover procedure in D2D and its numerous use cases. Architecture is suggested aiming to fulfill all the subscriber demands in an optimal manner. The Appendix mentions some ongoing standardization activities and research projects of D2D communication.Index Terms-Mobile network operators (MNOs), peer discovery, ultra dense networks (UDNs), millimeter wave (mmWave), next generation networks (NGNs), device-to-device (D2D) communication I. INTRODUCTIONoday the number of hand-held devices is drastically increasing, with a rising demand for higher data rate applications. In order to meet the needs of the next generation applications, the present data rates need a refinement. The fifth generation (5G) networks are expected and will have to fulfill these rising demands. A competent technology of the next generation networks (NGNs) is Deviceto-Device (D2D) Communication, which is expected to play an indispensable role in the approaching era of wireless communication. The use of D2D communication did not gain much importance in the previous generations of wireless communication, but in 5G networks, it is expected to be a vital part. The rising trends between the devices, enhance spectral efficiency and system capacity [2], with reduced latency within the networks. Such a technique is essential for fulfilling the chief goals of the mobile network operators (MNOs).D2D communication allows communication between two devices, without the participation of the Base Station (BS), or the evolved NodeB (eNB). Proximate devices can directly communicate with each other by establishing direct links. Due to the small distance between the D2D users, it supports power saving within the network, which is not possible in case of conventional cellular communication.It promises improvement in energy efficiency, throughput and delay. It has the potential to effectively offload traffic from the network core. Hence, it is a very ...

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“…Most of the literature available on D2D communication is based on a technological perspective. The literature or research on the implementation and adoption of D2D communication in business, including areas such as smart cities, smart cars, vehicle to vehicle communications (V2V), effective supply chains, and new age hospitals, is still at a very nascent stage [4] and [5].…”

Section: F Bibliometric Analysis Based On Journalsmentioning

confidence: 99%

“…There is also the potential to offload traffic congestion efficiently from the core network and distribute content effectively, something which is very difficult to achieve in the traditional cellular communications networks. Moreover, the use cases of D2D communication networks include social networking, ehealth, smart city, location-aware services and smart grids [4] and [5]. [6] addressed a few use cases of D2D communication networks.…”

Section: Introductionmentioning

confidence: 99%

Major Trends in Device to Device Communications Research: A Bibliometric Analysis

Mukhlif

Hodonu-Wusu

Noordin

et al. 2018

2018 IEEE Student Conference on Research and Development (SCOReD)

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The quantitative study of bibliographic material is referred to as bibliometric analysis. It presents a general overview of a research area where the published works can be classified based on countries, authors, publication years, keywords, and fields of research. This study aims to provide a bibliometric analysis of the research carried out in the field of device to device (D2D) communications in the past decade. The primary objective of this study is to find some of the most relevant and influential research papers in this field and define the newest trends as per the information available in the Web of Science database. During the course of this study, numerous classifications have been made based on different parameters such as the most productive and influential authors, and the most influential keywords and journals. The conclusions of this study are in line with the common wisdom, although certain deviations have been found.

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Device-to-device communication for Smart Grid devices

Cited by 13 publications

References 8 publications

A Survey on Device-to-Device Communication in Cellular Networks

A Survey on Device-to-Device Communication in Cellular Networks

Device-to-Device Communication in Cellular Networks: A Survey

Major Trends in Device to Device Communications Research: A Bibliometric Analysis

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