Enabling all in-edge deep learning: A literature review
In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …
on non-trivial tasks such as speech recognition, image processing, and natural language …
Socially-aware and energy-efficient resource allocation and power control for D2D multicast content distribution
M Abbasi-Verki, S Yousefi, H Kalbkhani - Journal of Network and Computer …, 2022 - Elsevier
Nowadays, a significant portion of the base station's traffic is dedicated to the increasing
demand for the same multimedia content in local area services. Device-to-device (D2D) …
demand for the same multimedia content in local area services. Device-to-device (D2D) …
[PDF][PDF] Enhanced Energy Efficiency and Scalability in Cellular Networks for Massive IoT
The significant expansion of cellular networks has increased their potential to support a wide
range of use cases beyond their original purpose of providing broadband access. One such …
range of use cases beyond their original purpose of providing broadband access. One such …
Drop Maslow's Hammer or not: machine learning for resource management in D2D communications
There is an old saying in America (aka" Maslow's Hammer")" If all you have is a hammer,
then every problem you see looks like a nail." While the techniques of machine learning …
then every problem you see looks like a nail." While the techniques of machine learning …
Hawkeye: a dynamic and stateless multicast mechanism with deep reinforcement learning
Multicast traffic is growing rapidly due to the development of multimedia streaming. Lately,
stateless multicast protocols, such as BIER, have been proposed to solve the excessive …
stateless multicast protocols, such as BIER, have been proposed to solve the excessive …
Distributed Dynamic Spectrum Access for D2D Communications Underlying Cellular Networks Using Deep Reinforcement Learning
Z Jiang, L Han, X Wang - … Conference on Artificial Intelligence in China, 2022 - Springer
In this paper, we investigate a deep Q-network (DQN)-based method for applying a dynamic
spectrum access model to device-to-device (D2D) communications underlying cellular …
spectrum access model to device-to-device (D2D) communications underlying cellular …