过去一年中添加的文章,按日期排序

Max-Min Fairness of CR-RSMA-Based UAV Relay-Assisted Emergency Communication Network With Limited User Energy

S Song, F Hu, Z Ling, Z Li, C Jin - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
64 天前 - … by the BS and used NOMA to forward the message to users. To … NOMA and cognitive
radio (CR), ie, CR-NOMA. 3D drone trajectories and power allocation are jointly optimized

[PDF][PDF] Optimizing Resource Allocation in MEC-Enabled CR-NOMA-Assisted IoT Networks: A DRL-Driven Strategy

MT Qaiser, MS Sohail, M Shafqat, SA Ullah, H Jung… - researchgate.net
67 天前 - … Therefore, the integration of CR-NOMA, MEC, and DRL emerges as a … CRNOMA-assisted
MEC for computation offloading. To this end, we adopt DRL with CR-NOMA-assisted

Sum rate maximization for RIS-assisted NOMA-enabled underlay AmBC-CR networks

RK Thenua, AS Gandhi, SK Singh - Physical Communication, 2024 - Elsevier
76 天前 - … non-orthogonal multiple access (NOMA). Due to the dual … the RIS-assisted
NOMA-enabled underlay AmBC-CR (RIS… constraint, we jointly optimize the phase shift matrix …

QoS-based resource management and optimization in CR-based NOMA networks

ÖF Akyol - polen.itu.edu.tr
89 天前 - … a multi-antenna CR-NOMA system, especially for … assisted- multi-antenna CR-NOMA
system, especially for Millimeter wave (mmWave) frequency bands. After that, a CR-NOMA-…

DDPG-based Sum Rate Optimization for Opportunistic Backscatter NOMA Networks

HMA Zeeshan, SA Ullah, SA Hassan… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
199 天前 - … This paper investigates the sum rate optimization of a quality-of-service (QoS)-aware …
(CR-NOMA)-assisted backscatter communication network. Our goal is to optimize the sum …

Active Inference for Sum Rate Maximization in UAV-Assisted Cognitive NOMA Networks

F Obite, A Krayani, AS Alam, L Marcenaro… - arXiv preprint arXiv …, 2023 - arxiv.org
273 天前 - … ), cognitive radio (CR), and non-orthogonal multiple access (NOMA) have … -assisted
cognitive NOMA network. Maximizing the sum rate is often a highly challenging optimization