Deepmimo: A Generic Deep Learning Dataset for Millimeter Wave and Massive Mimo Applications to Vehicular Communications

Author:

Falade Oluwaseun

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference6 articles.

1. A survey of 5G millimeter wave, massive multiple-input multiple-output, and vehicle-to-vehicle channel measurements and models;Basim Eldowek;International Journal of Communication Systems,2021

2. Vehicular communications: Survey and challenges of channel and propagation models;Wantanee Viriyasitavat;IEEE Vehicular Technology Magazine,2015

3. Car-to-car channel models based on wideband MIMO measurements at 5.3 GHz;Olivier Renaudin;2009 3rd European Conference on Antennas and Propagation,2009

4. Geometry-Based Channel Modelling for Vehicle-to-Vehicle Communication: A Review;Jalel Chebil;International Journal of Antennas and Propagation,2021

5. Propagation channels of 5G millimeter-wave vehicle-to-vehicle communications: Recent advances and future challenges;Ruisi He;IEEE vehicular technology magazine,2019

Cited by 2 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. Optimizing Resource Allocation in 5G MIMO Networks Using DUDe Techniques;2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP);2024-07-17

2. An Evaluation of the Signal to Noise Ratio (SNR) of Next Generation Wireless Communication Systems using Large Intelligent Surfaces: Deep Learning Approach;International Journal of Electrical and Electronics Research;2023-10-30

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