At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
UAV-assisted cooperative & cognitive NOMA: Deployment, clustering, and resource allocation
Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been
recognized as a promising technique to overcome spectrum scarcity and massive …
recognized as a promising technique to overcome spectrum scarcity and massive …
Analysis of large scale aerial terrestrial networks with mmWave backhauling
Service providers are considering the use of unmanned aerial vehicles (UAVs) to enhance
wireless connectivity of cellular networks. To provide connectivity, UAVs have to be …
wireless connectivity of cellular networks. To provide connectivity, UAVs have to be …
Retracted article: Designing an IoT based autonomous vehicle meant for detecting speed bumps and lanes on roads
D Kavitha, S Ravikumar - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Due to the excessive demand of automated solutions, intelligent transportation is the
currently popular research area. Internet of things (IoT) is a boon to the today's world, as …
currently popular research area. Internet of things (IoT) is a boon to the today's world, as …
Energy-efficient massive IoT shared spectrum access over UAV-enabled cellular networks
Data aggregation has become an emerging paradigm to support massive Internet-of-things
(IoT), a new and critical use case for fifth-generation new radio (5G-NR). Indeed, data …
(IoT), a new and critical use case for fifth-generation new radio (5G-NR). Indeed, data …
CEDAN: Cost-effective data aggregation for UAV-enabled IoT networks
One of the crucial challenges in networked Unmanned Aerial Vehicles (UAVs) is to
configure them to serve as aerial base stations (BSs) for collecting data from distributed …
configure them to serve as aerial base stations (BSs) for collecting data from distributed …
Mobile crowdsensing for data freshness: A deep reinforcement learning approach
Data collection by mobile crowdsensing (MCS) is emerging as data sources for smart city
applications, however how to ensure data freshness has sparse research exposure but quite …
applications, however how to ensure data freshness has sparse research exposure but quite …
Completion time minimization for UAV-enabled surveillance over multiple restricted regions
This work examines a UAV-enabled surveillance mission over multiple restricted regions
and aims to determine the optimal UAV trajectory that minimizes the mission completion …
and aims to determine the optimal UAV trajectory that minimizes the mission completion …
Satellite-assisted UAV trajectory control in hostile jamming environments
Satellite and unmanned aerial vehicle (UAV) networks have been introduced as enhanced
approaches to provide dynamic control, massive connections and global coverage for future …
approaches to provide dynamic control, massive connections and global coverage for future …
All-in-one: Toward hybrid data collection and energy saving mechanism in sensing-based IoT applications
Big data collection and storage have become one of the most obvious challenge in this era.
Indeed, much of that data is collected thanky to a huge number of connected devices in …
Indeed, much of that data is collected thanky to a huge number of connected devices in …