A survey on mobile augmented reality with 5G mobile edge computing: Architectures, applications, and technical aspects

Y Siriwardhana, P Porambage… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Augmented Reality (AR) technology enhances the human perception of the world by
combining the real environment with the virtual space. With the explosive growth of powerful …

User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions

HA Ammar, R Adve, S Shahbazpanahi… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Densification of network base stations is indispensable to achieve the stringent Quality of
Service (QoS) requirements of future mobile networks. However, with a dense deployment of …

Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Federated learning on non-IID data: A survey

H Zhu, J Xu, S Liu, Y Jin - Neurocomputing, 2021 - Elsevier
Federated learning is an emerging distributed machine learning framework for privacy
preservation. However, models trained in federated learning usually have worse …

Federated learning for 6G communications: Challenges, methods, and future directions

Y Liu, X Yuan, Z Xiong, J Kang, X Wang… - China …, 2020 - ieeexplore.ieee.org
As the 5G communication networks are being widely deployed worldwide, both industry and
academia have started to move beyond 5G and explore 6G communications. It is generally …

Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case

P Fraga-Lamas, SI Lopes, TM Fernández-Caramés - Sensors, 2021 - mdpi.com
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

6G-enabled edge AI for Metaverse: Challenges, methods, and future research directions

L Chang, Z Zhang, P Li, S Xi, W Guo… - Journal of …, 2022 - ieeexplore.ieee.org
Sixth generation (6G) enabled edge intelligence opens up a new era of Internet of
everything and makes it possible to interconnect people-devices-cloud anytime, anywhere …

Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge

A Qayyum, K Ahmad, MA Ahsan… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …