Detection of direct sequence spread spectrum signals based on deep learning
F Wei, S Zheng, X Zhou, L Zhang, C Lou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Direct spread spectrum communication has the advantages of strong anti-jamming ability
and low probability of interception, which plays an essential role in both civil and military …
and low probability of interception, which plays an essential role in both civil and military …
Feature-aided adaptive-tuning deep learning for massive device detection
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation
(6G) wireless network is required to support grant-free random access of a massive number …
(6G) wireless network is required to support grant-free random access of a massive number …
Deep learning-based DOA estimation
S Zheng, Z Yang, W Shen, L Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Direction-of-arrival (DOA) estimation is a vital research topic in array signal processing, with
extensive applications in many fields. In recent years, deep learning has been applied to …
extensive applications in many fields. In recent years, deep learning has been applied to …
ML and MAP device activity detections for grant-free massive access in multi-cell networks
Device activity detection is one main challenge in grant-free massive access, which is
recently proposed to support massive machine-type communications (mMTC). Existing …
recently proposed to support massive machine-type communications (mMTC). Existing …
A deep learning assisted node-classified redundant decoding algorithm for BCH codes
This paper proposes a node-classified redundant decoding (NC-RD) algorithm based on the
received sequence's channel reliability for high-density parity-check (HDPC) codes. Two …
received sequence's channel reliability for high-density parity-check (HDPC) codes. Two …
Deep learning-based transmit power control for device activity detection and channel estimation in massive access
We propose a transmit power control (TPC) scheme for grant-free multiple access, where
each device is able to determine its transmit power based on a TPC function. For the …
each device is able to determine its transmit power based on a TPC function. For the …
Performance analysis and design of non-orthogonal multiple access for wireless communications
Z Wei - arXiv preprint arXiv:1910.00946, 2019 - arxiv.org
In this thesis, we study performance analysis and resource allocation designs for non-
orthogonal multiple access (NOMA) in wireless communication systems. In contrast to …
orthogonal multiple access (NOMA) in wireless communication systems. In contrast to …
Deep learning-based joint activity detection and channel estimation for massive access: When more antennas meet fewer pilots
We consider the problem of joint activity detection and channel estimation (JADCE) for
massive grant-free random access with sporadic traffic devices. Due to the deployment of a …
massive grant-free random access with sporadic traffic devices. Due to the deployment of a …
Energy-efficient resource allocation design for NOMA systems
This chapter introduces the basic concepts on energy efficiency and non-orthogonal multiple
access (NOMA) to unlock the potentials of future communication networks. The energy …
access (NOMA) to unlock the potentials of future communication networks. The energy …