Deep reinforcement learning based optimal channel selection for cognitive radio vehicular ad‐hoc network

R Pal, N Gupta, A Prakash, R Tripathi… - IET …, 2020 - Wiley Online Library
Channel selection is a challenging task in cognitive radio vehicular networks. Vehicles have
to sense the channels periodically. Due to this, a lot of time is wasted which could have been …

Applications of Machine Learning and 5G New Radio Vehicle-to-Everything Communication in Smart Cities

R Raj, A Kumar, A Mandloi, R Pal - Internet of Everything for Smart City and …, 2023 - Springer
The process of the development of smart cities is already progressing. Smart city
development can be divided into several classifications, such as smart parking, smart …

Efficient Dissemination of Safety Messages in Vehicle Ad Hoc Network Environments

J Lim, D Pyun, D Choi, K Bok, J Yoo - Applied Sciences, 2023 - mdpi.com
The number of people owning vehicles has been steadily growing, resulting in increased
numbers of vehicles on the roads, making roads more congested, and increasing the risk of …

A study of a loss system with priorities

Y Hang, J Fu, J Wu, M Zukerman - arXiv preprint arXiv:2308.07344, 2023 - arxiv.org
The Erlang loss formula, also known as the Erlang B formula, has been known for over a
century and has been used in a wide range of applications, from telephony to hospital …

An efficient reservation-based MAC protocol for multi-priority traffic in slotted multi-channel distributed cognitive radio networks

J Lee - IEEE Access, 2020 - ieeexplore.ieee.org
Cognitive radio network (CRN) is developed to improve the scarce but under-utilized
wireless spectrum due to rapidly developing wireless networks. This paper proposes a …

Data Structures for Delay Reduction in Vehicular Ad hoc Networks

R Pal, RK Thenua - … on Advances in Computing and Future …, 2021 - ieeexplore.ieee.org
Various problems in the area of VANET have been identified and solved. However, the
queuing in VANET is a neglected area. Data structure has a significant effect on the delay in …

Human Interaction with Vehicles for Improved Safety: Internet of Vehicles

R Pal - Human-Machine Interaction and IoT Applications for a …, 2022 - taylorfrancis.com
5G network is the latest technology that is used to transmit a large amount of data. The
Internet of Vehicles (IoV) is the technology to provide the connectivity among vehicles. 5G …

Optimal Cognitive Channel Selection Using Deep Learning in CR-VANET

R Pal, RK Thenua, F Siddiqui - Proceedings of Integrated Intelligence …, 2021 - Springer
Researchers have been working on vehicular networks for about a decade. Channel access
is an important aspect for research in this area. Since the channels dedicated for vehicular …

Hybrid Data Structures for Fast Queuing Operations in Vehicular Communication

R Pal - Augmented Intelligence Toward Smart Vehicular …, 2020 - taylorfrancis.com
Vehicular communication is used not only for safety purposes but also for assistance and
infotainment purposes. The priorities of packets need to be assigned because they help …