Device-to-Device Communications for Energy Management: A Smart Grid Case

Abstract

The transmission of simultaneous and latencysensitive data puts forth a significant challenge for the smart grid communications. In this paper, we investigate the application of device-to-device (D2D) communications for the energy management in the electric distribution network. Specifically, we develop a D2D-assisted relaying framework to exploit the spatial diversity and the differentiated data rate requirements, which improves the spectral efficiency, especially for the scenarios that there are faults in the electric distribution network. We study the data transmission scheduling problem under the proposed D2D-assisted relaying framework, aiming to minimize the overall information loss rate, while taking into account the uncertainties in the communication latency. To this end, we first cast the data transmission scheduling problem as a two-stage stochastic programming problem and derive the solution. Then, we develop a real-time distributed data transmission scheduling scheme based on the sample path realizations. Extensive simulation results show significant performance improvement by using the proposed D2D-assisted relaying framework compared with two baseline frameworks for a variety of different cases.Index Terms-Device-to-device communications, relaying framework, spectral efficiency, smart grid.

Delay-optimal mode selection in device-to-device communications for smart grid

“…The access link and backhaul link are both NLOS and experience a lognormal shadowing with 0 mean and 8dB standard deviation. The path loss is modelled as NLOS COST-231 Walfish-Ikegami with a carrier frequency of 2GHz and white noise power density value -174 dBm/Hz [7]. The Rayleigh fading channel and the number of packets can be carried by the link in a time slot under different channel states, i.e with = 1,2,3,4,5,6 are set to Table II].…”

“…The Rayleigh fading channel and the number of packets can be carried by the link in a time slot under different channel states, i.e with = 1,2,3,4,5,6 are set to Table II]. First, we analyze the influence of the average SINRs to the average weighted sum delays for the proposed relay selection scheme and random relay selection scheme for the framework proposed in [7] at = 1, and the direct transmission scheme. Fig.…”

“…Wired networks connect BSs to the control center through gateways in the core network. The network model in this paper is adopted from [7].…”

“…A research on D2D communications in the smart grid applications has been done by Cao et al in [7]. D2D-assisted relaying framework is proposed to increase the achievable data rate of the access link by exploiting D2D communications to minimize the information loss rate of links.…”

Enabling Asynchronous Machine-Type D2D Communication Using Multiple Waveforms in 5G

“…However, there exists a contrasting set of inter-machine communication use cases that will possess requirements for low-latency and potentially high data-rate communication resulting from the increased use of robotics, artificial intelligence, and machine learning across multiple sectors such as energy [2], health, industry, and automotive. In order to enable direct communication between machinetype devices in 5G, D2D communication has been suggested as an enabling technology [3]- [6].…”