The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
5세대(2020G) 이동통신 시스템은 5년 상용 서비스 출시를 목표로 연구 개발 중이다. 5G 모바일 네트워크에는 LTE, 5G NR, WLAN 등 다양한 무선 접속 기술이 포함될 것이다. 따라서 사용자 장비(UE)는 5G 이종 네트워크 내에서 이동하면서 서로 다른 유형의 기지국에 연결됩니다. 따라서, 서빙 셀이 변경될 때마다 처리량은 변경될 것이라고 가정한다. 4G 모바일 네트워크는 5K 영상 등 대용량 콘텐츠를 서비스할 것으로 예상된다. 하지만 기존의 동영상 스트리밍 방식은 XNUMXG 이기종 네트워크에서 가용 대역폭을 효과적으로 활용하지 못한다. 본 연구에서는 사용 가능한 대역폭에 대한 예측을 기반으로 전송 속도 적응 방법을 제안합니다. 제안하는 방법에서는 통신 로그 데이터로부터 사용 가능한 대역폭을 예측한다. 과거 처리량과 그 위치를 포함한 통신 로깅 데이터베이스는 UE에 의해 생성된다. UE는 서빙 셀이 변경될 가능성이 있는 경우를 예측하기 위해 통신 로그 데이터를 참조한다. 제안한 방법을 구현한 비디오 스트리밍 장치를 개발하고 성능을 평가한다. 결과는 제안하는 방법이 가용 대역폭에 따라 전송 속도와 해상도를 변경할 수 있음을 보여준다. 제안하는 방법은 기존 방법으로는 불가능했던 고해상도 영상 전송 확률을 높인다. 또한, 개념 증명 테스트를 통해 전송된 영상에 대한 주관적 평가를 수행했습니다. 주관적 평가 결과, 제안한 방법이 비디오 스트리밍 경험의 질을 향상시키는 것으로 나타났다.
Takumi HIGUCHI
Panasonic Corporation
Hideki SHINGU
Panasonic Corporation
Noriyuki SHIMIZU
Panasonic Corporation
Takeshi MIYAGOSHI
Panasonic Corporation
Hiroaki ASANO
Panasonic Corporation
Yoshifumi MORIHIRO
NTT DOCOMO, INC.
Yukihiko OKUMURA
NTT DOCOMO, INC.
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Takumi HIGUCHI, Hideki SHINGU, Noriyuki SHIMIZU, Takeshi MIYAGOSHI, Hiroaki ASANO, Yoshifumi MORIHIRO, Yukihiko OKUMURA, "Real-Time Video Streaming Based on TFRC Using Communication Logging for 5G HetNet" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 8, pp. 1538-1546, August 2019, doi: 10.1587/transcom.2018TTP0007.
Abstract: The fifth-generation (5G) mobile communication system is being researched and developed for launch as a commercial service in 2020. The 5G mobile network will include many radio access technologies, such as LTE, 5G NR, and WLAN. Therefore, a user equipment (UE) will be connected to different types of base stations as it moves within a 5G heterogeneous network. Accordingly, it is assumed that the throughput will change with each change in the serving cell. The 5G mobile network is expected to serve large capacity contents, such as 4K videos. However, a conventional video streaming method cannot effectively use the available bandwidth in a 5G heterogeneous network. In this study, we propose a sending rate adaptation method based on predictions for the available bandwidth. In the proposed method, the available bandwidth is predicted from the communication log data. The communication logging database, including past throughput with its location, is created by a UE. A UE refers to the communication log data for predictions when the serving cell is likely to change. We develop a video streaming device that implements the proposed method and evaluates its performance. The results show that the proposed method can change the sending rate and resolution according to the available bandwidth. The proposed method increases the probability of transmitting high-resolution video, which is not possible with conventional methods. Moreover, we performed subjective evaluation of the transmitted video by the proof-of-concept test. The result of the subjective evaluation shows that the proposed method improves the quality of experience for video streaming.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018TTP0007/_p
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@ARTICLE{e102-b_8_1538,
author={Takumi HIGUCHI, Hideki SHINGU, Noriyuki SHIMIZU, Takeshi MIYAGOSHI, Hiroaki ASANO, Yoshifumi MORIHIRO, Yukihiko OKUMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Real-Time Video Streaming Based on TFRC Using Communication Logging for 5G HetNet},
year={2019},
volume={E102-B},
number={8},
pages={1538-1546},
abstract={The fifth-generation (5G) mobile communication system is being researched and developed for launch as a commercial service in 2020. The 5G mobile network will include many radio access technologies, such as LTE, 5G NR, and WLAN. Therefore, a user equipment (UE) will be connected to different types of base stations as it moves within a 5G heterogeneous network. Accordingly, it is assumed that the throughput will change with each change in the serving cell. The 5G mobile network is expected to serve large capacity contents, such as 4K videos. However, a conventional video streaming method cannot effectively use the available bandwidth in a 5G heterogeneous network. In this study, we propose a sending rate adaptation method based on predictions for the available bandwidth. In the proposed method, the available bandwidth is predicted from the communication log data. The communication logging database, including past throughput with its location, is created by a UE. A UE refers to the communication log data for predictions when the serving cell is likely to change. We develop a video streaming device that implements the proposed method and evaluates its performance. The results show that the proposed method can change the sending rate and resolution according to the available bandwidth. The proposed method increases the probability of transmitting high-resolution video, which is not possible with conventional methods. Moreover, we performed subjective evaluation of the transmitted video by the proof-of-concept test. The result of the subjective evaluation shows that the proposed method improves the quality of experience for video streaming.},
keywords={},
doi={10.1587/transcom.2018TTP0007},
ISSN={1745-1345},
month={August},}
부
TY - JOUR
TI - Real-Time Video Streaming Based on TFRC Using Communication Logging for 5G HetNet
T2 - IEICE TRANSACTIONS on Communications
SP - 1538
EP - 1546
AU - Takumi HIGUCHI
AU - Hideki SHINGU
AU - Noriyuki SHIMIZU
AU - Takeshi MIYAGOSHI
AU - Hiroaki ASANO
AU - Yoshifumi MORIHIRO
AU - Yukihiko OKUMURA
PY - 2019
DO - 10.1587/transcom.2018TTP0007
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2019
AB - The fifth-generation (5G) mobile communication system is being researched and developed for launch as a commercial service in 2020. The 5G mobile network will include many radio access technologies, such as LTE, 5G NR, and WLAN. Therefore, a user equipment (UE) will be connected to different types of base stations as it moves within a 5G heterogeneous network. Accordingly, it is assumed that the throughput will change with each change in the serving cell. The 5G mobile network is expected to serve large capacity contents, such as 4K videos. However, a conventional video streaming method cannot effectively use the available bandwidth in a 5G heterogeneous network. In this study, we propose a sending rate adaptation method based on predictions for the available bandwidth. In the proposed method, the available bandwidth is predicted from the communication log data. The communication logging database, including past throughput with its location, is created by a UE. A UE refers to the communication log data for predictions when the serving cell is likely to change. We develop a video streaming device that implements the proposed method and evaluates its performance. The results show that the proposed method can change the sending rate and resolution according to the available bandwidth. The proposed method increases the probability of transmitting high-resolution video, which is not possible with conventional methods. Moreover, we performed subjective evaluation of the transmitted video by the proof-of-concept test. The result of the subjective evaluation shows that the proposed method improves the quality of experience for video streaming.
ER -