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 …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Global-and-local attention-based reinforcement learning for cooperative behaviour control of multiple UAVs
Due to the strong adaptability and high flexibility, unmanned aerial vehicles (UAVs) have
been extensively studied and widely applied in both civil and military applications. Although …
been extensively studied and widely applied in both civil and military applications. Although …
Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G
The current 5G and conceived 6G era with ultrahigh density, ultra-high frequency bandwidth,
and ultra-low latency can support emerging applications like Extended Reality (XR), Vehicle …
and ultra-low latency can support emerging applications like Extended Reality (XR), Vehicle …
Make smart decisions faster: Deciding d2d resource allocation via stackelberg game guided multi-agent deep reinforcement learning
Device-to-Device (D2D) communication enabling direct data transmission between two
mobile users has emerged as a vital component for 5G cellular networks to improve …
mobile users has emerged as a vital component for 5G cellular networks to improve …
Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach
Device-to-device (D2D) communication is regarded as a promising technology to support
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation …
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 …
[HTML][HTML] A Survey on Resource Management for 6G Heterogeneous Networks: Current Research, Future Trends, and Challenges
The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …
[HTML][HTML] Survey on the state-of-the-art in device-to-device communication: A resource allocation perspective
T Islam, C Kwon - Ad Hoc Networks, 2022 - Elsevier
ABSTRACT Device to Device (D2D) communication takes advantage of the proximity
between the communicating devices in order to achieve efficient resource utilization …
between the communicating devices in order to achieve efficient resource utilization …