Deep Transfer Learning-based Performance Prediction of URLLC in independent and not necessarily identically distributed Interference Networks

M Ghous, TL Nguyen, TN Do, G Kaddoum - IEEE Access, 2024 - ieeexplore.ieee.org
In the rapidly evolving sixth-generation (6G) networks, achieving ultra-high reliability for
short packets poses a crucial challenge for network designers as classical Shanon capacity …

Multi-objective optimization for EE-SE tradeoff in space-air-ground Internet of Things networks

J Zhao, Y Mei, X Gao, J Yang, J Shang - Electronics, 2023 - mdpi.com
The Internet of Things (IoT) has become increasingly popular, and its communication
requirements have grown beyond what traditional ground networks can handle. The space …

Goodput maximization with quantized feedback in the finite blocklength regime for quasi-static channels

HB Celebi, M Skoglund - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we study a quantized feedback scheme to maximize the goodput of a finite
blocklength communication scenario over a quasi-static fading channel. It is assumed that …

A Cross-Layer Survey on Secure and Low-Latency Communications in Next-Generation IoT

M Martalò, G Pettorru, L Atzori - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
The last years have been characterized by strong market exploitation of the Internet of
Things (IoT) technologies in different application domains, such as Industry 4.0, smart cities …

Reinforcement Learning Based Goodput Maximization with Quantized Feedback in URLLC

HB Celebi, M Skoglund - arXiv preprint arXiv:2501.11190, 2025 - arxiv.org
This paper presents a comprehensive system model for goodput maximization with
quantized feedback in Ultra-Reliable Low-Latency Communication (URLLC), focusing on …

Subcarrier power control for URLLC communication system via multi-agent deep reinforcement learning in IoT network

H Wang, X Li, F Luo, J Li… - International Journal of …, 2024 - inderscienceonline.com
Designing an intelligent resource allocation scheme to achieve the performance
requirements of internet of things (IoT) devices for the future ultra-reliable low-latency …

Variable Precision Computing for Multi-user MIMO Precoding: Performance vs. Complexity

K Bao, W Xu, J Miao, J Li, J Bai… - 2022 IEEE 22nd …, 2022 - ieeexplore.ieee.org
The trade-off between performance and complexity is a frequently discussed topic in
wireless communication, as the dimension of signal processing scales up dramatically with …