Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …
Grant-free non-orthogonal multiple access for IoT: A survey
MB Shahab, R Abbas… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) is one of the main three focus areas in the
5th generation (5G) of wireless communications technologies to enable connectivity of a …
5th generation (5G) of wireless communications technologies to enable connectivity of a …
Partial computation offloading in NOMA-assisted mobile-edge computing systems using deep reinforcement learning
Mobile-edge computing (MEC) and nonorthogonal multiple access (NOMA) have been
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
regarded as promising technologies for beyond fifth-generation (B5G) and sixth-generation …
NOMA-based vlc systems: a comprehensive review
SAH Mohsan, M Sadiq, Y Li, AV Shvetsov… - Sensors, 2023 - mdpi.com
The enhanced proliferation of connected entities needs a deployment of innovative
technologies for the next generation wireless networks. One of the critical concerns …
technologies for the next generation wireless networks. One of the critical concerns …
Heterogeneous task offloading and resource allocations via deep recurrent reinforcement learning in partial observable multifog networks
As wireless services and applications become more sophisticated and require faster and
higher capacity networks, there is a need for an efficient management of the execution of …
higher capacity networks, there is a need for an efficient management of the execution of …
Drl-driven joint task offloading and resource allocation for energy-efficient content delivery in cloud-edge cooperation networks
With the proliferation of mobile devices (eg, vehicles and smartphones), rich media content
services from massive users lead to high network resource consumption and energy usage …
services from massive users lead to high network resource consumption and energy usage …
Joint resource management for MC-NOMA: A deep reinforcement learning approach
This paper presents a novel and effective deep reinforcement learning (DRL)-based
approach to addressing joint resource management (JRM) in a practical multi-carrier non …
approach to addressing joint resource management (JRM) in a practical multi-carrier non …
Computation offloading and wireless resource management for healthcare monitoring in fog-computing-based internet of medical things
Y Qiu, H Zhang, K Long - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
During the COVID-19 pandemic, Internet of Medical Things (IoMT) has been playing an
important role in controlling the development of the epidemic, including enabling doctors in …
important role in controlling the development of the epidemic, including enabling doctors in …
Artificial intelligence for wireless caching: Schemes, performance, and challenges
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
A survey on applications of cache-aided NOMA
Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA)
schemes can serve a pool of users without exploiting the scarce frequency or time domain …
schemes can serve a pool of users without exploiting the scarce frequency or time domain …