Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Multi-agent deep reinforcement learning based transmission latency minimization for delay-sensitive cognitive satellite-uav networks
S Guo, X Zhao - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the
satellite-aerial networks are becoming a promising candidate to provide flexible and …
satellite-aerial networks are becoming a promising candidate to provide flexible and …
Resource allocation for IRS assisted SGF NOMA transmission: A MADRL approach
J Chen, L Guo, J Jia, J Shang… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has
been viewed as one of the promising technologies to meet massive connectivity …
been viewed as one of the promising technologies to meet massive connectivity …
Cooperative trajectory design of multiple UAV base stations with heterogeneous graph neural networks
Unmanned aerial vehicles as base stations (UAV-BSs) are recognized as effective means
for tackling eruptive communication service requirements especially when terrestrial …
for tackling eruptive communication service requirements especially when terrestrial …
Computation bits maximization in UAV-assisted MEC networks with fairness constraint
This article investigates an unmanned aerial vehicle (UAV)-assisted wireless-powered
mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by …
mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by …
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
AA Baktayan, IA Al-Baltah - arXiv preprint arXiv:2208.10072, 2022 - arxiv.org
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Joint task offloading and resource allocation in STAR-RIS assisted NOMA system
L Guo, J Jia, J Chen, A Du… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, the joint task offloading and resource allocation are investigated for the semi-
grant-free (SGF) non-orthogonal multiple access (NOMA) assisted mobile edge computing …
grant-free (SGF) non-orthogonal multiple access (NOMA) assisted mobile edge computing …
Communication and trajectory design in UAV-enabled flying network
N Xing, Y Wang, L Teng, L Li - Digital Signal Processing, 2022 - Elsevier
Thanks to the flexible deployment, mobility and low cost, unmanned aerial vehicle (UAV) will
be widely used in civil and military scenarios. In this paper, a flying network in the sky is …
be widely used in civil and military scenarios. In this paper, a flying network in the sky is …
Deep Reinforcement Learning‐Based UAV Data Collection and Offloading in NOMA‐Enabled Marine IoT Systems
The rapid growth of maritime wireless communication demand and the complex offshore
wireless communication environment have brought challenges to ensure the real‐time and …
wireless communication environment have brought challenges to ensure the real‐time and …