Communication knowledge aided neural network for ofdm receiver in terahertz band
S Chakraborty, D Saha… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Ultra-broadband communication in emerging spectrum, like Terahertz (THz) band, is the
frontier to meet the data rate requirements of future wireless communication systems …
frontier to meet the data rate requirements of future wireless communication systems …
Knowledge-Guided Auto-Encoder for Unsupervised Angle-of-Arrival Estimation
In this paper, we propose a highly accurate unsu-pervised deep learning framework based
on auto-encoder (AE) for angle-of-arrival (AoA) estimation in massive MIMO systems. Our …
on auto-encoder (AE) for angle-of-arrival (AoA) estimation in massive MIMO systems. Our …
Unsupervised Massive MIMO Channel Estimation with Dual-Path Knowledge-Aware Auto-Encoders
Z Guo, Y Xiao, X Chen - arXiv preprint arXiv:2305.18744, 2023 - arxiv.org
In this paper, an unsupervised deep learning framework based on dual-path model-driven
variational auto-encoders (VAE) is proposed for angle-of-arrivals (AoAs) and channel …
variational auto-encoders (VAE) is proposed for angle-of-arrivals (AoAs) and channel …
[图书][B] Domain Aware Deep Learning for Wireless Physical Layer
S Chakraborty - 2022 - search.proquest.com
Wireless receiver design for OFDM systems is well investigated with classical signal
processing tools, which lack the capacity to extract intrinsic channel effects in received …
processing tools, which lack the capacity to extract intrinsic channel effects in received …