QoS aware resource allocation for coexistence mechanisms between eMBB and URLLC: Issues, challenges, and future directions in 5G
Abstract 5G NR enables three types of use case scenarios viz. enhance mobile broadband
(eMBB), ultra-reliable low latency communication (URLLC), and massive machine type …
(eMBB), ultra-reliable low latency communication (URLLC), and massive machine type …
Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey
With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …
Convergence of blockchain and edge computing for secure and scalable IIoT critical infrastructures in industry 4.0
Critical infrastructure systems are vital to underpin the functioning of a society and economy.
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Due to the ever-increasing number of Internet-connected Internet-of-Things (IoT)/Industrial …
Block5GIntell: Blockchain for AI-enabled 5G networks
Nowadays, 5G network is considered to be one of the main pillars of various industries,
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …
An intelligent end–edge–cloud architecture for visual IoT-assisted healthcare systems
Recently, the Internet of Things (IoT) has played a powerful role in healthcare. However, the
rapid growth of healthcare devices has produced many heterogeneous data and most of …
rapid growth of healthcare devices has produced many heterogeneous data and most of …
Drone swarm path planning for mobile edge computing in industrial internet of things
Drone-swarm-assisted mobile edge computing (MEC) provides extra computation and
storage capacity for smart city applications and the Industrial Internet of Things. To solve the …
storage capacity for smart city applications and the Industrial Internet of Things. To solve the …
Applications of auction and mechanism design in edge computing: A survey
Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …
transmission, and faster speed of data processing since the edge servers are closer to the …
Distributed learning for vehicle routing decision in software defined Internet of vehicles
K Lin, C Li, Y Li, C Savaglio… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the increasing number of vehicles, the traffic congestion is becoming more and more
serious. In order to alleviate such a problem, this article considers transmission and …
serious. In order to alleviate such a problem, this article considers transmission and …
AI-driven collaborative resource allocation for task execution in 6G-enabled massive IoT
In the foreseeable future, the rapid growth of devices in the Internet of Things (IoT) will make
it difficult for 5G networks to ensure sufficient network resources. 6G technology has …
it difficult for 5G networks to ensure sufficient network resources. 6G technology has …
Fuzzy-CNN based multi-task routing for integrated satellite-terrestrial networks
The integrated satellite-terrestrial network (ISN) is an emerging framework that complements
the ground 5G network with global network access. The satellite layer consists of Low Earth …
the ground 5G network with global network access. The satellite layer consists of Low Earth …