Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges
X Zhang, Z Luo, W Xiao, L Feng - IEEE Access, 2024 - ieeexplore.ieee.org
In non-cooperative communication systems such as radio spectrum resource regulation and
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …
Toward interference suppression: RIS-aided high-speed railway networks via deep reinforcement learning
Providing satisfactory quality of service (QoS) in high-speed railway (HSR) network is being
strangled by external interference as well as jamming. To address this issue, we study the …
strangled by external interference as well as jamming. To address this issue, we study the …
Deep reinforcement learning-based adaptive modulation for underwater acoustic communication with outdated channel state information
Y Zhang, J Zhu, H Wang, X Shen, B Wang, Y Dong - Remote Sensing, 2022 - mdpi.com
Underwater acoustic (UWA) adaptive modulation (AM) requires feedback about channel
state information (CSI) but the long propagation delays and time-varying features of UWA …
state information (CSI) but the long propagation delays and time-varying features of UWA …
Novel adaptive transmission scheme for effective URLLC support in 5G NR: A model-based reinforcement learning solution
Future industrial Internet of Things (IIoT) applications demand trustworthy ultra-reliable and
low-latency communications (URLLC) service. In this letter, we jointly design available …
low-latency communications (URLLC) service. In this letter, we jointly design available …
Adaptive modulation in underwater acoustic networks (AMUSE): A multi-armed bandit approach
Underwater (UW) communication channels experience limited bandwidth, high time
variability and much longer delays as compared to traditional terrestrial channels. This …
variability and much longer delays as compared to traditional terrestrial channels. This …
Designing learning-based adversarial attacks to (MIMO-) OFDM systems with adaptive modulation
With the development of 5G, 6G, and beyond, wireless communications have taken a vital
role in our daily life. The wide adoption of wireless devices and applications makes security …
role in our daily life. The wide adoption of wireless devices and applications makes security …
Deep reinforcement learning based link adaptation technique for LTE/NR systems
Outdated channel quality indicator (CQI) feedback causes severe performance degradation
of traditional link adaptation (LA) techniques in long term evolution (LTE) and new radio …
of traditional link adaptation (LA) techniques in long term evolution (LTE) and new radio …
Machine learning assisted adaptive LDPC coded system design and analysis
C Xie, M El‐Hajjar, SX Ng - IET Communications, 2024 - Wiley Online Library
This paper proposes a novel machine learning (ML) assisted low‐latency low density parity
check (LDPC) coded adaptive modulation (AM) system, where short block‐length LDPC …
check (LDPC) coded adaptive modulation (AM) system, where short block‐length LDPC …
DQL-based intelligent scheduling algorithm for automatic driving in massive MIMO V2I scenarios
Y Liao, Z Yin, Z Yang, X Shen - China Communications, 2023 - ieeexplore.ieee.org
Connected and autonomous vehicle (CAV) vehicle to infrastructure (V2I) scenarios have
more stringent requirements on the communication rate, delay, and reliability of the Internet …
more stringent requirements on the communication rate, delay, and reliability of the Internet …
Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices
N Han, IM Kim, J So - Sensors, 2023 - mdpi.com
As the number of Internet of things (IoT) devices increases exponentially, scheduling and
managing the radio resources for IoT devices has become more important. To efficiently …
managing the radio resources for IoT devices has become more important. To efficiently …