Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
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 …
Clustering-based activity detection algorithms for grant-free random access in cell-free massive MIMO
UK Ganesan, E Björnson… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Future wireless networks need to support massive machine type communication (mMTC)
where a massive number of devices accesses the network and massive MIMO is a …
where a massive number of devices accesses the network and massive MIMO is a …
AI assisted PHY in future wireless systems: Recent developments and challenges
Nowadays, the rapid development of artificial intelligence (AI) provides a fresh perspective
in designing future wireless communication systems. Innumerable attempts exploiting AI …
in designing future wireless communication systems. Innumerable attempts exploiting AI …
Joint channel estimation, activity detection and data decoding based on dynamic message-scheduling strategies for mMTC
RB Di Renna, RC de Lamare - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this work, we present a joint channel estimation, activity detection and data decoding
scheme for massive machine-type communications. By including the channel and the a …
scheme for massive machine-type communications. By including the channel and the a …
Active user detection and channel estimation for massive machine-type communication: Deep learning approach
Recently, massive machine-type communications (mMTCs) have become one of key use
cases for 5G. In order to support massive users transmitting small data packets at low rates …
cases for 5G. In order to support massive users transmitting small data packets at low rates …
Deep-learned approximate message passing for asynchronous massive connectivity
This paper considers the massive connectivity problem in an asynchronous grant-free
random access system, where a huge number of devices sporadically transmit data to a …
random access system, where a huge number of devices sporadically transmit data to a …
Detection techniques for massive machine-type communications: Challenges and solutions
Massive machine-type communications (mMTC) is one of the key application scenarios of
fifth generation (5G) and beyond cellular networks. Bringing the unique technical challenge …
fifth generation (5G) and beyond cellular networks. Bringing the unique technical challenge …
Prior information aided deep learning method for grant-free NOMA in mMTC
In massive machine-type communications (mMTC), the conflict between millions of potential
access devices and limited channel freedom leads to a sharp decrease in spectrum …
access devices and limited channel freedom leads to a sharp decrease in spectrum …