M-Ary QAM Asynchronous-NOMA D2D Network With Cyclic Triangular-SIC Decoding Scheme
The complexity of successive interference cancellation at the receiver's end is a challenging
issue in conventional non-orthogonal multiple access assisted massive wireless networks …
issue in conventional non-orthogonal multiple access assisted massive wireless networks …
FedSNN: Training Slimmable Neural Network With Federated Learning in Edge Computing
To provide a flexible tradeoff between inference accuracy and resource requirement at
runtime, the slimmable neural network (SNN), a single network executable at different widths …
runtime, the slimmable neural network (SNN), a single network executable at different widths …
Reliable emergency service for 5G networks
VB Mudiyanselage - 2023 - theses.hal.science
During large-scale disasters, emergency communication systems that are reliable,
responsive, and energy-efficient are crucial. This thesis focuses on designing reliable …
responsive, and energy-efficient are crucial. This thesis focuses on designing reliable …
[PDF][PDF] M-Ary QAM Asynchronous-NOMA D2D Network With Cyclic Triangular-SIC Decoding Scheme
H MABED, A KUMAR - academia.edu
The complexity of successive interference cancellation at the receiver's end is a challenging
issue in conventional non-orthogonal multiple access assisted massive wireless networks …
issue in conventional non-orthogonal multiple access assisted massive wireless networks …