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 …
[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) …
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 …
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 …
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 …
A survey of resource management in D2D communication for B5G networks
Due to the vast rise of users, the variety of application requirements, and the enormous
necessity for ubiquitous connectivity anytime and anywhere, integration of new technologies …
necessity for ubiquitous connectivity anytime and anywhere, integration of new technologies …
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 deep reinforcement learning scheme for sum rate and fairness maximization among d2d pairs underlaying cellular network with noma
Device-to-device (D2D) communication is an emerging technology in 5G and the upcoming
6G networks due to its properties to enhanced sum rate. Despite these advantages, co …
6G networks due to its properties to enhanced sum rate. Despite these advantages, co …
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 …
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 …