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Role of machine learning in resource allocation strategy over vehicular networks: a survey
I Nurcahyani, JW Lee - Sensors, 2021 - mdpi.com
The increasing demand for smart vehicles with many sensing capabilities will escalate data
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
traffic in vehicular networks. Meanwhile, available network resources are limited. The …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …
architectures should be modified. To cope with the challenges that arise due to the …
Deep reinforcement learning for adaptive network slicing in 5G for intelligent vehicular systems and smart cities
A Nassar, Y Yilmaz - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Intelligent vehicular systems and smart city applications are the fastest growing Internet-of-
Things (IoT) implementations at a compound annual growth rate of 30%. In view of the …
Things (IoT) implementations at a compound annual growth rate of 30%. In view of the …
Consortium blockchain-based spectrum trading for network slicing in 5G RAN: A multi-agent deep reinforcement learning approach
Network slicing (NS) is envisioned as an emerging paradigm for accommodating different
virtual networks on a common physical infrastructure. Considering the integration of …
virtual networks on a common physical infrastructure. Considering the integration of …
Machine learning in network slicing—a survey
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
Collaborative and intelligent resource optimization for computing and caching in IoV with blockchain and MEC using A3C approach
Recently, the rise of the Internet of Vehicles (IoV) has driven the broad development of
intelligent transportation and smart cities. In order to promote the computing power of mobile …
intelligent transportation and smart cities. In order to promote the computing power of mobile …
Orthogonal and non-orthogonal multiple access for intelligent reflection surface in 6G systems
Intelligent reflecting surface (IRS) is envisioned to become a key technology for the
upcoming six-generation (6G) wireless system due to its potential of rea** high …
upcoming six-generation (6G) wireless system due to its potential of rea** high …
Intelligent reflecting vehicle surface: A novel IRS paradigm for moving vehicular networks
Intelligent reflecting surface (IRS) has recently received much attention from the research
community due to its potential to achieve high spectral and power efficiency cost-effectively …
community due to its potential to achieve high spectral and power efficiency cost-effectively …
Minimum Latency‐Secure Key Transmission for Cloud‐Based Internet of Vehicles Using Reinforcement Learning
The Internet of Vehicles (IoV) communication key management level controls the
confidentiality and security of its data, which may withstand user identity‐based attacks such …
confidentiality and security of its data, which may withstand user identity‐based attacks such …