Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …
been gaining significant attention due to the rapidly growing applications of deep learning in …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
When internet of things meets metaverse: Convergence of physical and cyber worlds
In recent years, the Internet of Things (IoT) has been studied in the context of the Metaverse
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
to provide users with immersive cyber-virtual experiences in mixed-reality environments …
NOMA and future 5G & B5G wireless networks: A paradigm
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …
revolution. High data rate and continuous connectivity are the necessities because the …
DRL-driven dynamic resource allocation for task-oriented semantic communication
H Zhang, H Wang, Y Li, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …
intelligent applications. However, few studies have addressed the problem of resource …
Delay-aware and energy-efficient carrier aggregation in 5G using double deep Q-networks
As one of the key technologies in 5G networks, Carrier Aggregation (CA) is studied in this
paper. In CA, Component Carriers (CCs) can be activated and deactivated depending on …
paper. In CA, Component Carriers (CCs) can be activated and deactivated depending on …
Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things
Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …
Deep reinforcement learning for multi-objective resource allocation in multi-platoon cooperative vehicular networks
Y Xu, K Zhu, H Xu, J Ji - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Grouping vehicles into platoons is a promising cooperative driving scenario to enhance the
traffic safety and capacity of future vehicular networks. However, fast changing channel …
traffic safety and capacity of future vehicular networks. However, fast changing channel …
Deep learning-based NOMA system for enhancement of 5G networks: A review
RK Senapati, PJ Tanna - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …
communication have led to extensive research into 5G communications. The wide progress …