Deep unfolding for communications systems: A survey and some new directions
A Balatsoukas-Stimming… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms
with tools from neural networks to efficiently solve a range of tasks in machine learning …
with tools from neural networks to efficiently solve a range of tasks in machine learning …
Deep learning-enabled polar code decoders for 5G networks and beyond
M Meenalakshmi, S Chaturvedi, VK Dwivedi - AEU-International Journal of …, 2024 - Elsevier
The fifth generation (5G) wireless communication standard aims to integrate multiple
networks, offering high throughput, large bandwidth, and ultra-low latency. Importantly …
networks, offering high throughput, large bandwidth, and ultra-low latency. Importantly …
Enhanced belief propagation decoder for 5G polar codes with bit-flipping
Due to its parallel propagation property, the belief propagation (BP) polar decoding can
achieve high throughput and has drawn increasing attention. However, the BP decoding is …
achieve high throughput and has drawn increasing attention. However, the BP decoding is …
Recent Advances in Deep Learning for Channel Coding: A Survey
T Matsumine, H Ochiai - arXiv preprint arXiv:2406.19664, 2024 - arxiv.org
This paper provides a comprehensive survey on recent advances in deep learning (DL)
techniques for the channel coding problems. Inspired by the recent successes of DL in a …
techniques for the channel coding problems. Inspired by the recent successes of DL in a …
Hardware implementation for belief propagation flip decoding of polar codes
Belief propagation (BP) decoding has natural advantages in throughput for polar codes to
meet high-speed and low-latency requirements. The soft outputs of BP decoding can be …
meet high-speed and low-latency requirements. The soft outputs of BP decoding can be …
A low-complexity belief propagation based decoding scheme for polar codes-decodability detection and early stopping prediction
In the 5G communication systems, polar code has been adapted as the control channel
coding solution in the enhanced mobile broadband (eMBB) scenario. Although different …
coding solution in the enhanced mobile broadband (eMBB) scenario. Although different …
Deep Unfolding-Based Channel Estimation for IRS-Aided mmWave Systems via Two-Stage LAMP Network with Row Compression
WC Tsai, CW Chen, AY Wu - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is emerging as a promising and revolutionary technology
for achieving cost-effective wireless communication systems. However, the performance of …
for achieving cost-effective wireless communication systems. However, the performance of …
Hypernetwork based Model-Driven Channel Neural Decoding
Channel decoding algorithms based on model-driven deep learning, also known as channel
neural decoding algorithms, have received a lot of attention in recent years. However, the …
neural decoding algorithms, have received a lot of attention in recent years. However, the …
A study on the adaptability of deep learning-based polar-coded noma in ultra-reliable low-latency communications
N Iswarya, R Venkateswari… - … Systems: Proceedings of …, 2022 - Springer
Abstract According to ITU-R, 5G wireless communication's primary goal is achieving too high
data rates in the broadcast region. Polar coding has emerged as a pivotal channel coding …
data rates in the broadcast region. Polar coding has emerged as a pivotal channel coding …
Optimization and hardware implementation of learning assisted min-sum decoders for polar codes
Polar codes have received a lot of attention due to their capacity-achieving performance and
low complexity. This paper proposes a novel scaling offset min-sum (SOMS) algorithm and …
low complexity. This paper proposes a novel scaling offset min-sum (SOMS) algorithm and …