[HTML][HTML] NOMA-based cognitive radio network with hybrid FD/HD relay in industry 5.0
The continued growth of the industrial Internet of Things (IoT) paves the way for the fifth
industrial revolution (Industry 5.0), which is expected to further enhance the wireless …
industrial revolution (Industry 5.0), which is expected to further enhance the wireless …
SecBoost: Secrecy-aware deep reinforcement learning based energy-efficient scheme for 5G HetNets
In this article, we propose a secrecy-aware energy-efficient scheme for a two-tier
heterogeneous network (HetNet), consisting of a sub-6 GHz macrocell and multiple …
heterogeneous network (HetNet), consisting of a sub-6 GHz macrocell and multiple …
DDPG-based aerial secure data collection
As air-to-ground links tend to exhibit a high probability of being line-of-sight (LoS),
unmanned aerial vehicles (UAVs) are widely used to improve the performance of wireless …
unmanned aerial vehicles (UAVs) are widely used to improve the performance of wireless …
SWIPT-enabled Cell-Free Massive MIMO-NOMA Networks: A Machine Learning-based Approach
This paper investigates simultaneous wireless information and power transfer (SWIPT)-
enabled cell-free massive multiple-input multiple-output (CF-mMIMO) networks with power …
enabled cell-free massive multiple-input multiple-output (CF-mMIMO) networks with power …
[HTML][HTML] Game-theoretic physical layer authentication for spoofing detection in internet of things
Y Wu, T Jing, Q Gao, Y Wu, Y Huo - Digital Communications and Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) has permeated various fields relevant to our lives. In
these applications, countless IoT devices transmit vast amounts of data, which often carry …
these applications, countless IoT devices transmit vast amounts of data, which often carry …
Toward intelligent resource allocation on task-oriented semantic communication
H Zhang, H Wang, Y Li, K Long… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Task-oriented semantic communication (TOSC) has significant advantages in reducing the
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …
Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach
Z Shi, H Lu, X Xie, H Yang, C Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An active reconfigurable intelligent surface (RIS)-aided multi-user downlink communication
system is investigated, where non-orthogonal multiple access (NOMA) is employed to …
system is investigated, where non-orthogonal multiple access (NOMA) is employed to …
DRL-based multidimensional resource management in SWIPT-NOMA-enabled MEC
Mobile edge computing (MEC) enables communication users with limited computation
power to offload computation-intensive tasks to the edge server, thus dramatically …
power to offload computation-intensive tasks to the edge server, thus dramatically …
Deep rl-assisted energy harvesting in cr-noma communications for nextg iot networks
Zero-energy radios in energy-constrained devices are envisioned as key enablers to
realizing the next-generation Internet-of-things (NG-IoT) networks for ultra-dense sensing …
realizing the next-generation Internet-of-things (NG-IoT) networks for ultra-dense sensing …
TDMA-NOMA based computation offloading for cognitive capacity harvesting networks with transmission order optimization
B Lu, S Lin, J Shi - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
In this paper, we investigate the resource allocation of mobile edge computing (MEC) in
cognitive capacity harvesting networks (CCHNs) when non-orthogonal multiple-access …
cognitive capacity harvesting networks (CCHNs) when non-orthogonal multiple-access …