The Effect of Concurrent Multi-priority Data Streams on the MAC Layer Performance of IEEE 802.11p and C-V2X Mode 4
Supporting parallel multi-priority data streams is vital for maintaining the quality of service (QoS) in vehicle-to-everything (V2X) communication. Hence, the European telecommunications […]
Deep ladder reconstruction-classification network for unsupervised domain adaptation
Unsupervised Domain Adaptation aims to learn a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain. Most […]
Domain Knowledge Powered Two-Stream Deep Network for Few-Shot SAR Vehicle Recognition
Synthetic aperture radar (SAR) target recognition faces the challenge that there are very little labeled data. Although few-shot learning methods are developed […]
Survey on blockchain for future smart grids
Smart Grid 2.0 is envisaged to automate the operations of the intelligent electricity grid. Blockchain and smart contracts are integrated to facilitate […]
MEC-enabled 5G Use Cases
The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving augmented-reality […]
Fast and Scalable Distributed Consensus Over Wireless Large-Scale Internet-of-Things Network
Due to the rapid paradigm shift in Internet of Things networks from wired and centralized to flexible wireless and decentralized networks building […]
How many beams does sub-THz channel support
Antenna, radio frequency (RF) circuit, algorithm, and system researchers on sub-THz RF are interested in knowing characteristics of corresponding radio channels. Among […]
Artificial Intelligence in the Telecommunication Sector
6G (sixth generation of mobile communications) is one of the least understood future technologies from a management perspective, although the dynamics associated […]
Distributed network and service architecture for future digital healthcare
Distributed Learning in Wireless Networks
The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected […]