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Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

139

Citations

28

References

2018

Year

TLDR

Device‑to‑device communication is a core component of 5G, enabling use cases such as public safety, autonomous driving, and infotainment, but high data rates and multiple active interfaces pose energy consumption challenges for base stations and user devices. The paper reviews 3GPP standardization for 5G and defines application scenarios for D2D communications. The authors analyze power consumption using recent LTE and WiFi interface models from both infrastructure and user device viewpoints. The analysis shows that minimizing active interfaces and transmitting at the highest feasible data rate yields the greatest energy savings, and the authors provide recommendations for future networks.

Abstract

Device-to-device (D2D) communication is an essential part of the future fifth generation (5G) system that can be seen as a “network of networks,” consisting of multiple seamlessly-integrated radio access technologies (RATs). Public safety communications, autonomous driving, socially-aware networking, and infotainment services are example use cases of D2D technology. High data rate communications and use of several active air interfaces in the described network create energy consumption challenges for both base stations and the end user devices. In this paper, we review the status of 3rd Generation Partnership Project (3GPP) standardization, which is the most important standardization body for 5G systems. We define a set of application scenarios for D2D communications in 5G networks. We use the recent models of 3GPP long term evolution (LTE) and WiFi interfaces in analyzing the power consumption from both the infrastructure and user device perspectives. The results indicate that with the latest radio interfaces, the best option for energy saving is the minimization of active interfaces and sending the data with the best possible data rate. Multiple recommendations on how to exploit the results in future networks are given.

References

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