Neural Network-Based Adaptive Resource Allocation for 5G Heterogeneous Ultra-Dense Networks. [PDF]
Alhazmi AS, Arafah MA.
europepmc +1 more source
Scheduling allocation in 5G slicing networks utilizing weighted exponential and logarithmic functions to improve QoS. [PDF]
Nong X, Liang X.
europepmc +1 more source
Enhanced Turbo Codes for URLLC
This document describes the error rate performance of the enhanced Turbo Coding scheme proposed in R1-164635 at RAN1#85 meeting and detailed in R1-167413.
openaire +1 more source
Minimization of Resource Consumption with URLLC Constraints for Relay-Assisted IIoT. [PDF]
Zhao Y, Peng T, Guo Y, Niu Y, Wang W.
europepmc +1 more source
Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability. [PDF]
Islam MFU +4 more
europepmc +1 more source
Real-Time Health Monitoring Using 5G Networks: Deep Learning-Based Architecture for Remote Patient Care. [PDF]
Batool I.
europepmc +1 more source
Optimizing power allocation for URLLC-D2D in 5G networks with Rician fading channel. [PDF]
Muhammad O +3 more
europepmc +1 more source
Design and Performance Analysis of Sub-THz/THz Mini-Cluster Architectures for Dense Urban 5G/6G Networks. [PDF]
Farré V +5 more
europepmc +1 more source
Multi-task meta-initialized DQN for fast adaptation to unseen slicing tasks in O-RAN. [PDF]
Zeng B, Niu X.
europepmc +1 more source

