Non-coherent and backscatter communications: Enabling ultra-massive connectivity in 6G wireless networks
With the commencement of the 5 th generation (5G) of wireless networks, researchers
around the globe have started paying their attention to the imminent challenges that may …
around the globe have started paying their attention to the imminent challenges that may …
AI-inspired non-terrestrial networks for IIoT: Review on enabling technologies and applications
During the last few years, various Industrial Internet of Things (IIoT) applications have
emerged with numerous network elements interconnected using wired and wireless …
emerged with numerous network elements interconnected using wired and wireless …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey
A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …
with numerous applications. However, vehicular network security is still an open research …
Performance analysis and deep learning design of wireless powered cognitive NOMA IoT short-packet communications with imperfect CSI and SIC
In this article, we study wireless-powered cognitive nonorthogonal multiple access (NOMA)
Internet of Things (IoT) networks with short-packet communications to improve spectrum …
Internet of Things (IoT) networks with short-packet communications to improve spectrum …
Robust downlink multi-antenna beamforming with heterogenous CSI: Enabling eMBB and URLLC coexistence
Two of the main problems to achieve ultra-reliable low-latency communications (URLLC)
are related to instantaneous channel state information (I-CSI) acquisition and the …
are related to instantaneous channel state information (I-CSI) acquisition and the …
Joint uplink and downlink resource allocation in NOMA for end-to-end URLLC services
X Xie, X Ou, H Lu, Q Huang - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has great potential to increase spectral efficiency
and reduce latency. However, reliability problems of NOMA limit its applications in ultra …
and reduce latency. However, reliability problems of NOMA limit its applications in ultra …
Availability-reliability-stability trade-offs in ultra-reliable energy-harvesting cognitive radio IoT networks
MR Amini, MW Baidas - IEEE Access, 2020 - ieeexplore.ieee.org
With the rise of the Internet-of-Things (IoT), new requirements have been brought into
communication networks to make them more efficient, sustainable, and self-sufficient …
communication networks to make them more efficient, sustainable, and self-sufficient …
Cyclic stable matching inspired resource provisioning for IoT-enabled 5G networks
A Pratap - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
The next-generation wireless network is expected to be highly dense with a large number of
heterogeneous Internet of Things (IoT) devices, working in co-operation with various Small …
heterogeneous Internet of Things (IoT) devices, working in co-operation with various Small …
A generative adversarial network enabled deep distributional reinforcement learning for transmission scheduling in internet of vehicles
The Cognitive Internet of Vehicles (CIoV) is an intelligent network that embeds the cognitive
mechanism in the Internet of Vehicles (IoV) to sense the environment and observe the …
mechanism in the Internet of Vehicles (IoV) to sense the environment and observe the …