Interference management in 5G and beyond network: Requirements, challenges and future directions
In the modern technological world, wireless communication has taken a massive leap from
the conventional communication system to a new radio communication network. The novel …
the conventional communication system to a new radio communication network. The novel …
[HTML][HTML] Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
Deep learning for radio resource allocation with diverse quality-of-service requirements in 5G
To accommodate diverse Quality-of-Service (QoS) requirements in 5th generation cellular
networks, base stations need real-time optimization of radio resources in time-varying …
networks, base stations need real-time optimization of radio resources in time-varying …
A review of deep learning approaches in clinical and healthcare systems based on medical image analysis
HA Helaly, M Badawy, AY Haikal - Multimedia Tools and Applications, 2024 - Springer
Healthcare is a high-priority sector where people expect the highest levels of care and
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …
Deep learning (DL) based joint resource allocation and RRH association in 5G-multi-tier networks
Fifth-Generation (5G) networks have adopted a multi-tier structural model which includes
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
femtocells, picocells, and macrocells to ensure the user quality-of-service (QoS). To meet …
[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 …
Double deep q-network method for energy efficiency and throughput in a uav-assisted terrestrial network
Increasing the coverage and capacity of cellular networks by deploying additional base
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
AI/ML for beyond 5G systems: Concepts, technology enablers & solutions
Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …
paradigm, enabling flexibility in realizing customized services across different technology …
Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …
computing and storage resources closer to the network edge, reducing latency, and …
A convolutional operation-based online computation offloading approach in wireless powered multi-access edge computing networks
Prompt, uninterrupted, accurate and reliable agricultural information plays an important role
for agricultural decision making, which requires stable and efficient data transmission frame …
for agricultural decision making, which requires stable and efficient data transmission frame …