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 Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
Federated reinforcement learning-based resource allocation in D2D-enabled 6G
The current 5G and conceived 6G era with ultra-high density, ultra-high frequency
bandwidth, and ultra-low latency can support emerging applications like Extended Reality …
bandwidth, and ultra-low latency can support emerging applications like Extended Reality …
A distributed power control algorithm for energy efficiency maximization in wireless cellular networks
In this letter, we propose a distributed power control algorithm for addressing the global
energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR …
energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR …
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 …
Deep learning-based energy efficient resource allocation for underlay cognitive MISO interference channels
In this paper, we investigate a deep learning (DL)-based resource allocation strategy for an
underlay cognitive radio network with multiple-input-single-output interference channels …
underlay cognitive radio network with multiple-input-single-output interference channels …
AI-based resource allocation techniques in D2D communication: Open issues and future directions
T Rathod, S Tanwar - Physical Communication, 2024 - Elsevier
Abstract The fifth-generation (5G) mobile network enhances network connectivity between
many mobile devices by utilizing higher bandwidth with lower communication delay. This …
many mobile devices by utilizing higher bandwidth with lower communication delay. This …
A survey on device to device communications
TV Raghu, M Kiran - 2022 International Conference for …, 2022 - ieeexplore.ieee.org
The demand for the network capacity from the first generation to the current age of
technology is exponentially increasing and it leads to scarcity of resources. The increase in …
technology is exponentially increasing and it leads to scarcity of resources. The increase in …
An Iterative-Based Optimum Power and Resource Allocation in Application-dependent Scenarios for One-to-One D2D Communication
TV Raghu, M Kiran - IEEE Access, 2024 - ieeexplore.ieee.org
Efficient and timely sharing of critical information is crucial for Public Safety (PS)
communications, which can be fulfilled using one of the cutting-edge technologies, Device …
communications, which can be fulfilled using one of the cutting-edge technologies, Device …