6G R&D vision: Requirements and candidate technologies
The Korean Institute of Communications and Information Sciences (KICS), which is the
largest information and communication technology institute in Korea, has been active in …
largest information and communication technology institute in Korea, has been active in …
Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …
promise in various disciplines such as image classification and segmentation, speech …
Deep learning-based improved cascaded channel estimation and signal detection for reconfigurable intelligent surfaces-assisted MU-MISO systems
Reconfigurable intelligent surface (RIS) consists of cost-effective passive elements which
can be utilized in different scenarios in next-generation wireless communication. Deep …
can be utilized in different scenarios in next-generation wireless communication. Deep …
Sensing user's activity, channel, and location with near-field extra-large-scale MIMO
This paper proposes a grant-free massive access scheme based on the millimeter wave
(mmWave) extra-large-scale multiple-input multiple-output (XL-MIMO) to support massive …
(mmWave) extra-large-scale multiple-input multiple-output (XL-MIMO) to support massive …
Multi-user joint detection using bi-directional deep neural network framework in NOMA-OFDM system
Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
Signal processing and learning for next generation multiple access in 6G
Wireless communication systems to date primarily rely on the orthogonality of resources to
facilitate the design and implementation, from user access to data transmission. Emerging …
facilitate the design and implementation, from user access to data transmission. Emerging …
Massive data generation for deep learning-aided wireless systems using meta learning and generative adversarial network
As an entirely-new paradigm to design the communication systems, deep learning (DL), an
approach that the machine learns the desired wireless function, has received much attention …
approach that the machine learns the desired wireless function, has received much attention …
Data-driven compressed sensing for massive wireless access
The central challenge in massive machine-type communications (mMTC) is to connect a
large number of uncoordinated devices through a limited spectrum. The typical mMTC …
large number of uncoordinated devices through a limited spectrum. The typical mMTC …
Joint activity detection and channel estimation for massive IoT access based on millimeter-wave/terahertz multi-panel massive MIMO
H Xiu, Z Gao, A Liao, Y Mei, D Zheng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The multi-panel array, as a state-of-the-art antenna-in-package technology, is very suitable
for millimeter-wave (mmWave)/terahertz (THz) systems, due to its low-cost deployment and …
for millimeter-wave (mmWave)/terahertz (THz) systems, due to its low-cost deployment and …
Enumeration and identification of active users for grant-free NOMA using deep neural networks
In next-generation mobile radio systems, multiple access schemes will support a massive
number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a …
number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a …