[HTML][HTML] 6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
[HTML][HTML] Blockchain for deep learning: review and open challenges
Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …
informed decisions. A large portion of today's deep learning systems are based on …
[HTML][HTML] Leveraging machine-learning for D2D communications in 5G/beyond 5G networks
Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G)
and beyond 5G (B5G) networks. Although D2D communication provides several benefits …
and beyond 5G (B5G) networks. Although D2D communication provides several benefits …
Resource efficient geo-textual hierarchical clustering framework for social IoT applications
The Social Internet of Things (SIoT) paradigm incorporates social networking concepts with
the Internet of Things (IoT) solutions to support novel services. The massive amount of data …
the Internet of Things (IoT) solutions to support novel services. The massive amount of data …
Start: Straggler prediction and mitigation for cloud computing environments using encoder lstm networks
Modern large-scale computing systems distribute jobs into multiple smaller tasks which
execute in parallel to accelerate job completion rates and reduce energy consumption …
execute in parallel to accelerate job completion rates and reduce energy consumption …
[HTML][HTML] A survey of deep learning for data caching in edge network
Y Wang, V Friderikos - Informatics, 2020 - mdpi.com
The concept of edge caching provision in emerging 5G and beyond mobile networks is a
promising method to deal both with the traffic congestion problem in the core network, as …
promising method to deal both with the traffic congestion problem in the core network, as …
A classification of the enabling techniques for low latency and reliable communications in 5G and beyond: AI-enabled edge caching
LC Mutalemwa, S Shin - IEEE Access, 2020 - ieeexplore.ieee.org
Various advanced and mission-critical applications are enabled by the emerging
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …
Proactive content caching in edge computing environment: A review
R Aghazadeh, A Shahidinejad… - Software: Practice …, 2023 - Wiley Online Library
Edge computing environment provides processing capability and computing at the network
edge and close to users. Edge equipment includes small data centers that locally perform …
edge and close to users. Edge equipment includes small data centers that locally perform …
An end-to-end smart IoT-driven navigation for social distancing enforcement
The unprecedented global spread of the coronavirus pandemic COVID-19 has significantly
promoted novel Internet-of-things (IoT)-based solutions to prevent, combat, monitor, or …
promoted novel Internet-of-things (IoT)-based solutions to prevent, combat, monitor, or …
Deep regression model for videos popularity prediction in mobile edge caching networks
In recent years, the wide spread adoption of mobile and multimedia applications has
resulted in exponentially increasing multimedia traffic, which exerts a great burden on …
resulted in exponentially increasing multimedia traffic, which exerts a great burden on …