Deep neural network augmented wireless channel estimation for preamble-based ofdm phy on zynq system on chip
Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
Multi-access edge offloading based on physical layer security in C-V2X system
J Qin, J Liu - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
Due to the gap between calculation-intensive and latency-sensitive features of self-driving
tasks and the vehicle's limited computation and storage resources, the development of …
tasks and the vehicle's limited computation and storage resources, the development of …
A survey of NOMA: State of the art, key techniques, open challenges, security issues and future trends
SAH Mohsan, Y Li - arXiv preprint arXiv:2306.06664, 2023 - arxiv.org
Non-orthogonal multiple access (NOMA) systems can serve multiple users in contrast to
orthogonal multiple-access (OMA), which makes use of the limited time or frequency domain …
orthogonal multiple-access (OMA), which makes use of the limited time or frequency domain …
Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
Deep Neural Network Augmented Wireless Channel Estimation for Preamble-based OFDM PHY on Zynq System on Chip
Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …
[PDF][PDF] 基于深度学习的下行大规模MIMO OFDM 系统的1 比特预编码算法
周宸颢， 温利嫄， 钱骅， 康凯 - 电子与信息学报, 2024 - jeit.ac.cn
大规模多输入多输出(MIMO) 系统中通过在基站端配备数百根天线, 在提高频谱利用效率的同时,
也带来了系统成本的增加. 本课题组之前提出了一种适用于下行大规模MIMO …
也带来了系统成本的增加. 本课题组之前提出了一种适用于下行大规模MIMO …
Mixed-Bouncing Based IS-GBSM for UAV Wideband Channels
This chapter proposes a novel three-dimensional (3D) mixed-bouncing based unmanned
aerial vehicle (UAV) channel model with time–space–frequency (T–S–F) non-stationarity for …
aerial vehicle (UAV) channel model with time–space–frequency (T–S–F) non-stationarity for …
Energy-Efficient AI Models for 6G Base Station
MK Munif, MR Karmakar, SA Tusi, B Sarker… - … on Intelligent Computing …, 2023 - Springer
An intelligent base station is designed to use artificial intelligence (AI) and machine learning
techniques to optimize its performance and improve overall energy efficiency. It is unclear …
techniques to optimize its performance and improve overall energy efficiency. It is unclear …
1-bit Precoding Algorithm for Massive MIMO OFDM Downlink Systems with Deep Learning
C ZHOU, L WEN, H QIAN, K KANG - 电子与信息学报, 2023 - jeit.ac.cn
The base station of a massive Multiple-Input Multiple-Output (MIMO) system is equipped with
hundreds of antennas, enhancing the spectral efficiency of the system and increasing the …
hundreds of antennas, enhancing the spectral efficiency of the system and increasing the …