From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications
Non terrestrial networks (NTN) involving 'in the sky'objects such as low-earth orbit satellites,
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
Energy-efficient communication networks via multiple aerial reconfigurable intelligent surfaces: DRL and optimization approach
In the realm of wireless communications in 5G, 6G and beyond, deploying unmanned aerial
vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy …
vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy …
SpaceRIS: LEO satellite coverage maximization in 6G sub-THz networks by MAPPO DRL and whale optimization
Satellite systems face a significant challenge in effectively utilizing limited communication
resources to meet the demands of ground network traffic, characterized by asymmetrical …
resources to meet the demands of ground network traffic, characterized by asymmetrical …
Joint trajectory and resource optimization of MEC-assisted UAVs in sub-THz networks: A resources-based multi-agent proximal policy optimization DRL with attention …
The use of Terahertz (THz) technology in sixth-generation (6G) networks will bring high-
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
speed and capacity data services. But limitations like molecular absorption, rain attenuation …
Capacity Enhancement of Flying-IRS Assisted 6G THz Network using Deep Reinforcement Learning
SS Omar, AM Abd El-Haleem, II Ibrahim… - IEEE Access, 2023 - ieeexplore.ieee.org
Terahertz communication networks and Intelligent Reflecting Surfaces (IRS) exhibit
significant potential in advancing Sixth-Generation (6G) wireless networks, these …
significant potential in advancing Sixth-Generation (6G) wireless networks, these …
Seamless and intelligent resource allocation in 6G maritime networks framework via deep reinforcement learning
Sixth-generation (6G) communication networks will fulfill users' requests for high data
speeds and low latency without causing network outages throughout the world. However …
speeds and low latency without causing network outages throughout the world. However …
THz-enabled UAV communications using non-orthogonal multiple access
The fact that integrating the unmanned aerial vehicles (UAV) newfangled applications in the
envisioned next generation (nextG) necessitates a considerable high throughput, makes …
envisioned next generation (nextG) necessitates a considerable high throughput, makes …
Terahertz Data Extraction and Analysis based on Deep Learning Techniques for Emerging Applications
M Gezimati, G Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …
detection, THz technology is being widely used to characterize test sample properties in …
Distributed Safe Multi-Agent Reinforcement Learning: Joint Design of THz-enabled UAV Trajectory and Channel Allocation
A Termehchi, A Syed, WS Kennedy… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
6G is anticipated to play a foundational role in realizing various emerging entertainment
applications and critical societal services, such as smart agriculture, public safety, and so on …
applications and critical societal services, such as smart agriculture, public safety, and so on …