A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

The cloud-edge-based dynamic reconfiguration to service workflow for mobile ecommerce environments: a QoS prediction perspective

H Gao, W Huang, Y Duan - ACM Transactions on Internet Technology …, 2021 - dl.acm.org
The emergence of mobile service composition meets the current needs for real-time
eCommerce. However, the requirements for eCommerce, such as safety and timeliness, are …

A survey of machine learning techniques for video quality prediction from quality of delivery metrics

O Izima, R de Fréin, A Malik - Electronics, 2021 - mdpi.com
A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …

A survey on web service QoS prediction methods

SH Ghafouri, SM Hashemi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, there are many Web services with similar functionality on the Internet. Users
consider Quality of Service (QoS) of the services to select the best service from among them …

Augmented reality in IoT

G White, C Cabrera, A Palade, S Clarke - Service-Oriented Computing …, 2019 - Springer
IoT is a combination of physical objects with virtual representations and services.
Augmented reality provides an ideal interface to IoT applications by superimposing virtual …

Multi-parametric analysis of reliability and energy consumption in IoT: A deep learning approach

M Ateeq, F Ishmanov, MK Afzal, M Naeem - Sensors, 2019 - mdpi.com
Small-to-medium scale smart buildings are an important part of the Internet of Things (IoT).
Wireless Sensor Networks (WSNs) are the major enabler for smart control in such …

Statistical tools and methodologies for URLLC-a tutorial

OA López, M Shehab, NH Mahmood, H Alves… - Authorea …, 2023 - techrxiv.org
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …

Urban intelligence with deep edges

G White, S Clarke - IEEE Access, 2020 - ieeexplore.ieee.org
With the increased accuracy available from state of the art deep learning models and new
embedded devices at the edge of the network capable of running and updating these …

Overall quality prediction for HTTP adaptive streaming using LSTM network

HTT Tran, DV Nguyen, NP Ngoc… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
HTTP Adaptive Streaming has become a popular solution for multimedia delivery nowadays.
However, due to network bandwidth fluctuations, video quality strongly varies during …

Autoencoders for QoS prediction at the edge

G White, A Palade, C Cabrera… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In service-oriented architectures, collaborative filtering is a key technique for service
recommendation based on QoS prediction. Matrix factorisation has emerged as one of the …