Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach

Author:

Chen Yun1,Palacios Joan1,Gonzalez-Prelcic Nuria1,Shimizu Takayuki2,Lu Hongsheng2

Affiliation:

1. North Carolina State University

2. Toyota Motor North America

Publisher

IEEE

Cited by 7 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. Beamspace ESPRIT-D for Joint 3D Angle and Delay Estimation for Joint Localization and Communication at MmWave;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Enhancing WiFi Access Point Localization With AI-Based Filtering;IEEE Communications Letters;2024-06

3. The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications;Proceedings of the IEEE;2024

4. Localization Techniques in Multiple-Input Multiple-Output Communication: Fundamental Principles, Challenges, and Opportunities;MIMO Communications - Fundamental Theory, Propagation Channels, and Antenna Systems;2023-12-20

5. Sparse Recovery with Attention: A Hybrid Data/Model Driven Solution for High Accuracy Position and Channel Tracking at mmWave;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25

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