Channelformer: Attention Based Neural Solution for Wireless Channel Estimation and Effective Online Training

Author:

Luan Dianxin1ORCID,Thompson John S.1ORCID

Affiliation:

1. Institute for Digital Communications, The University of Edinburgh, Edinburgh, U.K.

Funder

Huawei

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Reference56 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv 1810 04805,2018

2. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

3. Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels

4. Channel Estimation Based on Deep Learning in Vehicle-to-Everything Environments

5. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;arXiv 2010 11929,2020

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Low Complexity Deep Learning Augmented Wireless Channel Estimation for Pilot-Based OFDM on Zynq System on Chip;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05

2. Symbol Detection and Channel Estimation for Space Optical Communications Using Neural Network and Autoencoder;IEEE Transactions on Machine Learning in Communications and Networking;2024

3. MAGLN: Multi-Attention Graph Learning Network for Channel Estimation in Multi-User SIMO;2023 28th Asia Pacific Conference on Communications (APCC);2023-11-19

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