AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
Machine learning-enabled joint antenna selection and precoding design: From offline complexity to online performance
We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
base station (BS) serves multiple users via a shared wireless medium. In order to fully …
Energy minimization in UAV-aided networks: Actor-critic learning for constrained scheduling optimization
In unmanned aerial vehicle (UAV) applications, the UAV's limited energy supply and storage
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
have triggered the development of intelligent energy-conserving scheduling solutions. In this …
Sacc: A size adaptive content caching algorithm in fog/edge computing using deep reinforcement learning
X Zhou, Z Liu, M Guo, J Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge/Fog caching is promising to mitigate the data traffic problem in both traditional
wireline/wireless networks and the 5G network. Recently, deep reinforcement learning …
wireline/wireless networks and the 5G network. Recently, deep reinforcement learning …
AI based service management for 6G green communications
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
energy overhead and reduce fossil fuel usage. In current 5G and future 6G era, there is no …
Hit ratio and latency optimization for caching systems: A survey
The rise of fifth-generation (5G) communication systems allows the super high-quality
services to be implemented in real-life; however, it requires a massive amount of mobile …
services to be implemented in real-life; however, it requires a massive amount of mobile …
Actor-critic learning-based energy optimization for UAV access and backhaul networks
In unmanned aerial vehicle (UAV)-assisted networks, UAV acts as an aerial base station
which acquires the requested data via backhaul link and then serves ground users (GUs) …
which acquires the requested data via backhaul link and then serves ground users (GUs) …
Challenges in caching strategies for mobile edge computing
T Bhuruth, A Mungur, S Armoogum… - 2021 International …, 2021 - ieeexplore.ieee.org
With the advent of smart devices and new applications, wireless network traffic is
experiencing exponential growth and, as a result, applications take more time to respond …
experiencing exponential growth and, as a result, applications take more time to respond …
[PDF][PDF] A cache placement algorithm based on comprehensive utility in big data multi-access edge computing.
Y Liu, W Huang, L Han, L Wang - KSII Transactions on Internet & …, 2021 - itiis.org
The recent rapid growth of mobile network traffic places multi-access edge computing in an
important position to reduce network load and improve network capacity and service quality …
important position to reduce network load and improve network capacity and service quality …
Design and implementation of an Embodied face recognition and tracking algorithm
S Lu, H Zhao, Y Chen, S Tian - 2021 6th International …, 2021 - ieeexplore.ieee.org
This paper mainly designs an algorithm for face recognition and tracking and implements
the algorithm using ROS robots. Given the high hardware requirements of the actual ROS …
the algorithm using ROS robots. Given the high hardware requirements of the actual ROS …