Blockchain-envisioned UAV communication using 6G networks: Open issues, use cases, and future directions
Unmanned aerial vehicles (UAV) can provide efficient and effective solutions for the
development of smart cities. They have been widely used in civilian and military …
development of smart cities. They have been widely used in civilian and military …
[HTML][HTML] A road towards 6G communication—A review of 5G antennas, arrays, and wearable devices
Next-generation communication systems and wearable technologies aim to achieve high
data rates, low energy consumption, and massive connections because of the extensive …
data rates, low energy consumption, and massive connections because of the extensive …
A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the
communication and computation systems. Cellular IoT connects massive number of physical …
communication and computation systems. Cellular IoT connects massive number of physical …
Security requirements and challenges of 6G technologies and applications
After implementing 5G technology, academia and industry started researching 6th
generation wireless network technology (6G). 6G is expected to be implemented around the …
generation wireless network technology (6G). 6G is expected to be implemented around the …
Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
Complex-valued networks for automatic modulation classification
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …
classification (AMC). However, most recent DL based AMC works are based on real-valued …
Ultra-reliable MU-MIMO detector based on deep learning for 5G/B5G-enabled IoT
In this paper, we propose an ultra-reliable multiuser multiple-input multiple-output (MU-
MIMO) detector based on deep learning for the fifth-generation and beyond the fifth …
MIMO) detector based on deep learning for the fifth-generation and beyond the fifth …
6G communication technology: A vision on intelligent healthcare
Abstract 6G is a promising communication technology that will dominate the entire health
market from 2030 onward. It will dominate not only health sector but also diverse sectors. It is …
market from 2030 onward. It will dominate not only health sector but also diverse sectors. It is …
Multi-task learning for generalized automatic modulation classification under non-Gaussian noise with varying SNR conditions
Automatic modulation classification (AMC) is a critical algorithm for the identification of
modulation types so as to enable more accurate demodulation in the non-cooperative …
modulation types so as to enable more accurate demodulation in the non-cooperative …
[PDF][PDF] 6G vision: An ultra-flexible perspective
The upcoming sixth generation (6G) communications systems are expected to support an
unprecedented variety of applications, pervading every aspect of human life. It is clearly not …
unprecedented variety of applications, pervading every aspect of human life. It is clearly not …