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NOMA and future 5G & B5G wireless networks: A paradigm
For the last few decades, wireless communication has been facing a technological
revolution. High data rate and continuous connectivity are the necessities because the …
revolution. High data rate and continuous connectivity are the necessities because the …
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 …
Deep learning enhanced NOMA system: A survey on future scope and challenges
V Andiappan, V Ponnusamy - Wireless Personal Communications, 2022 - Springer
As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …
Computation offloading and resource allocation in NOMA–MEC: A deep reinforcement learning approach
C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
A hybrid DQN and optimization approach for strategy and resource allocation in MEC networks
We consider a multi-user multi-server mobile edge computing (MEC) network with time-
varying fading channels and formulate an offloading decision and resource allocation …
varying fading channels and formulate an offloading decision and resource allocation …
Resource allocation for NOMA-MEC systems in ultra-dense networks: A learning aided mean-field game approach
Attracted by the advantages of multi-access edge computing (MEC) and non-orthogonal
multiple access (NOMA), this article studies the resource allocation problem of a NOMA …
multiple access (NOMA), this article studies the resource allocation problem of a NOMA …
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 …
Resource provisioning for mitigating edge DDoS attacks in MEC-enabled SDVN
Vehicular ad hoc network (VANET) has become an accessible technology for improving
road safety and driving experience, the problems of heterogeneity and lack of resources it …
road safety and driving experience, the problems of heterogeneity and lack of resources it …
AI/ML for beyond 5G systems: Concepts, technology enablers & solutions
Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …
paradigm, enabling flexibility in realizing customized services across different technology …
Joint task offloading and resource allocation for multi-user collaborative mobile edge computing
X An, Y Li, Y Chen, T Li - Computer Networks, 2024 - Elsevier
The exponential growth of Internet of Things (IoT) terminal devices in recent years has
caused overload when offloading their computational tasks solely to edge servers. Partial …
caused overload when offloading their computational tasks solely to edge servers. Partial …