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Paper Abstract and Keywords
Presentation 2025-07-02 13:25
Design and Implementation of IP Racing Drones using 5G Networks
Fumiaki Mizuno (Keio Univ.), Youngjoo Kim, Kazuyuki Machida (SoftBank Corp.), Keisuke Uehara (Keio Univ.) CQ2025-14
Abstract (in Japanese) (See Japanese page) 
(in English) Drone racing is a competition in which pilots race around a course while watching First-Person-View (FPV) footage streamed from cameras mounted on their drones; because speeds exceed 150,km/h, ultra-low-latency video transmission and control are essential. Conventional IP-based video-link and control schemes used for general-purpose drones have therefore been unsuitable for racing drones.

In this study, we designed and implemented a lightweight drone-control protocol that allows racing drones to fly over a 5G network, and we carried out flight tests beyond both radio line-of-sight and visual line-of-sight. We also analyzed and measured the constituent sources of latency typical of racing drones. The delay from stick input to the onset of motor current in our IP control system was 13.87,ms, close to the 11.41,ms of a conventional racing drone. The glass-to-glass latency of IP video transmission was 53.2,ms, giving a combined control-plus-video latency of 64.6,ms.

To the best of our knowledge, this is the first reported case in which both control and video were transmitted over IP via a 5G network—and manual drone operation relying solely on angular-rate attitude control was successfully demonstrated—under beyond-radio-line-of-sight and beyond-visual-line-of-sight conditions.
Keyword (in Japanese) (See Japanese page) 
(in English) Racing drones / 5G / IP / Remote operation / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 94, CQ2025-14, pp. 7-12, July 2025.
Paper # CQ2025-14 
Date of Issue 2025-06-25 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CQ2025-14

Conference Information
Committee CQ  
Conference Date 2025-07-02 - 2025-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) network performance, virtual environment/metaverse, graph analysis, game theory, machine learning, interaction, social media, etc. 
Paper Information
Registration To CQ 
Conference Code 2025-07-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design and Implementation of IP Racing Drones using 5G Networks 
Sub Title (in English)  
Keyword(1) Racing drones  
Keyword(2) 5G  
Keyword(3) IP  
Keyword(4) Remote operation  
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1st Author's Name Fumiaki Mizuno  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Youngjoo Kim  
2nd Author's Affiliation SoftBank Corp. (SoftBank Corp.)
3rd Author's Name Kazuyuki Machida  
3rd Author's Affiliation SoftBank Corp. (SoftBank Corp.)
4th Author's Name Keisuke Uehara  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2025-07-02 13:25:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2025-14 
Volume (vol) vol.125 
Number (no) no.94 
Page pp.7-12 
#Pages 6 
Date of Issue 2025-06-25 (CQ) 

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