Deep learning aided signal detection for SPAD-based underwater optical wireless communications
In underwater optical wireless communication (UOWC) systems, using single photon
avalanche photondiode (SPAD) as the detector can improve the transmission distance …
avalanche photondiode (SPAD) as the detector can improve the transmission distance …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
Deep multimodal learning: Merging sensory data for massive MIMO channel prediction
Existing work in intelligent communications has recently made preliminary attempts to utilize
multi-source sensing information (MSI) to improve the system performance. However, the …
multi-source sensing information (MSI) to improve the system performance. However, the …
A model-driven deep learning method for normalized min-sum LDPC decoding
With the applications of deep learning networks booming in physical layer communication,
deep-learning-based channel decoding methods have become a research hotspot …
deep-learning-based channel decoding methods have become a research hotspot …
Adversarial attack on DL-based massive MIMO CSI feedback
With the increasing application of deep learning (DL) algorithms in wireless
communications, the physical layer faces new challenges caused by adversarial attack …
communications, the physical layer faces new challenges caused by adversarial attack …
Exploring the road to 6G: ABC—foundation for intelligent mobile networks
J Zhu, M Zhao, S Zhang, W Zhou - China Communications, 2020 - ieeexplore.ieee.org
The 5th generation (5G) mobile networks has been put into services across a number of
markets, which aims at providing subscribers with high bit rates, low latency, high capacity …
markets, which aims at providing subscribers with high bit rates, low latency, high capacity …
Deep learning for improving performance of OOK modulation over FSO turbulent channels
L Darwesh, NS Kopeika - IEEE Access, 2020 - ieeexplore.ieee.org
Free space optical (FSO) communication technology has become increasingly advanced
with capabilities of high speed, high capacity, and low power consumption. However …
with capabilities of high speed, high capacity, and low power consumption. However …
Deep reinforcement learning-based resource allocation and power control in small cells with limited information exchange
In multi-user downlink small cell networks, cooperative resource allocation (RA) within a
small cell cluster is a key technique to enhance network capacity. However, capacity …
small cell cluster is a key technique to enhance network capacity. However, capacity …
[PDF][PDF] 人工智能驱动的6G 网络: 智慧内生
张彤， 任奕璟， 闫实， 彭木根 - 电信科学, 2020 - infocomm-journal.com
为了满足智能适配人− 机− 物深度互联需求, 第六代移动通信系统(6G) 将基于全频谱,
面向全场景, 支撑全业务, 其核心组成是智慧内生, 也是驱动5G 演进的趋势 …
面向全场景, 支撑全业务, 其核心组成是智慧内生, 也是驱动5G 演进的趋势 …
Intelligent resource allocation in wireless communications systems
The emergence of DL represents a potential paradigm shift in the design of WCS, from
conventional handcrafted schemes based on mathematical models with assumptions, to …
conventional handcrafted schemes based on mathematical models with assumptions, to …