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Scenarios for 5G mobile and wireless communications: the vision of the METIS project

This article describes the scenarios identified for the purpose of driving the 5G research direction and gives initial directions for the technology components that will allow the fulfillment of the requirements of the identified 5G scenarios.
IEEE (opens in a new tab)

The Road Towards 6G: A Comprehensive Survey

A comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators (KPIs), architecture, and enabling technologies and identifies a dozen of potential technologies.
IEEE (opens in a new tab)

Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review

A holistic view of the current state of the art of terahertz communications and sensing is given and the issues and challenges that are open for further research towards 6G are highlighted.
IEEE (opens in a new tab)

EU FP7 INFSO-ICT-317669 METIS, D1.1 Scenarios, requirements and KPIs for 5G mobile and wireless system

The deliverable will not only serve as the guideline for the technical work and system concept design in METIS, but also can serve in external research communities to help to harmonize the work towards the future radio access system including the new generation system of 5G.

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

An inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-rAN, virtualized cloud- RAN, and fog-Ran, and compares them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance.
IEEE (opens in a new tab)

Deep Learning for Fading Channel Prediction

This article proposes a novel predictor that leverages the strong time-series prediction capability of deep recurrent neural networks incorporating long short-term memory or gated recurrent unit and results reveal that deep learning brings a notable performance gain compared with the conventional predictors built on shallow recurrent Neural networks.
IEEE (opens in a new tab)

Access Schemes for Mobile Cloud Computing

It will be shown that a Mobile Cloud Controller establishing a Context Management Architecture can provide the requested availability and quality of mobile connectivity.
IEEE (opens in a new tab)

Binary and quadriphase sequences with optimal autocorrelation properties: a survey

Known methods as well as several new construction techniques of binary and quadriphase sequences with optimal or best known autocorrelation properties are discussed in this correspondence.
Publisher (opens in a new tab)

Neural Network-Based Fading Channel Prediction: A Comprehensive Overview

The basic structure of a recurrent neural network, its training method, RNN-based predictors, and a prediction-aided system are presented, and the complexity and performance of predictors are comparatively illustrated by numerical results.
IEEE (opens in a new tab)

Introduction of a 5G-Enabled Architecture for the Realization of Industry 4.0 Use Cases

A tailored architecture is introduced that is focused on the communication needs given by representative Industry 4.0 use cases while ensuring parallel compliance to latest developments in relevant standardization.
IEEE (opens in a new tab)
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