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Bo Ai

Researcher at Beijing Jiaotong University

Publications -  658
Citations -  13573

Bo Ai is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Communication channel & Computer science. The author has an hindex of 52, co-authored 535 publications receiving 9105 citations. Previous affiliations of Bo Ai include Tsinghua University & Xidian University.

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Challenges Toward Wireless Communications for High-Speed Railway

TL;DR: This work discusses in detail the main differences in scientific research for wireless communications between the HSR operation scenarios and the conventional public land mobile scenarios, and the latest research progress in wireless channel modeling in viaducts, cuttings, and tunnels scenarios.
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Cell-Free Massive MIMO: A New Next-Generation Paradigm

TL;DR: This paper quantifies the advantages of CF massive MIMO systems in terms of their energy- and cost-efficiency and the signal processing techniques invoked for reducing the fronthaul burden for joint channel estimation and for transmit precoding.
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High-Speed Railway Communications: From GSM-R to LTE-R

TL;DR: To handle increasing traffic, ensure passenger safety, and provide real-time multimedia information, a new communication system for HSR is required to replace the current GSM-railway (GSM-R) technology with the next-generation railway-dedicated communication system providing improved capacity and capability.
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The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial

TL;DR: This tutorial will be especially useful for researchers who work on RT algorithms development and channel modeling to meet the evaluation requirements of 5G and beyond technologies.
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On Indoor Millimeter Wave Massive MIMO Channels: Measurement and Simulation

TL;DR: This paper investigates the channel behaviors of massive MIMO at a mmWave frequency band around 26 GHz and makes the extensive ray-tracing simulations with 1024 antenna elements in the same indoor scenario, and gets insights into the variation tendency of mean delay and the RMS delay with different array elements.