Abstract
Currently deployed mobile networks including High Speed Downlink Packet Access (HSDPA) offer only best-effort Quality of Service (QoS). In wireless best effort networks, the bandwidth variation is a critical problem, especially, for mobile devices with small buffers. This is because the bandwidth variation leads to packet losses caused by buffer overflow as well as picture freezing due to high transmission delay or buffer underflow. In this paper, in order to provide seamless video streaming over HSDPA, we propose an efficient real-time video streaming method that consists of the available bandwidth (AB) estimation for the HSDPA network and the transmission rate control to prevent buffer overflows/underflows. In the proposed method, the client estimates the AB and the estimated AB is fed back to the server through real-time transport control protocol (RTCP) packets. Then, the server adaptively adjusts the transmission rate according to the estimated AB and the buffer state obtained from the RTCP feedback information. Experimental results show that the proposed method achieves seamless video streaming over the HSDPA network providing higher video quality and lower transmission delay.
| Original language | English |
|---|---|
| Pages (from-to) | 3893-3902 |
| Number of pages | 10 |
| Journal | IEICE Transactions on Communications |
| Volume | E92-B |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2009 Dec 1 |
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Keywords
- Bandwidth estimation
- Buffer overflow/underflow
- HSDPA
- QoS
- Transmission rate control
- Video streaming
ASJC Scopus subject areas
- Computer Networks and Communications
- Software
- Electrical and Electronic Engineering
Cite this
Adaptive video streaming using bandwidth estimation for 3.5g mobile network. / Nam, Hyeong M.; Park, Chun S.; Jung, Seung W.; Ko, Sung-Jea.
In: IEICE Transactions on Communications, Vol. E92-B, No. 12, 01.12.2009, p. 3893-3902.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Adaptive video streaming using bandwidth estimation for 3.5g mobile network
AU - Nam, Hyeong M.
AU - Park, Chun S.
AU - Jung, Seung W.
AU - Ko, Sung-Jea
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Currently deployed mobile networks including High Speed Downlink Packet Access (HSDPA) offer only best-effort Quality of Service (QoS). In wireless best effort networks, the bandwidth variation is a critical problem, especially, for mobile devices with small buffers. This is because the bandwidth variation leads to packet losses caused by buffer overflow as well as picture freezing due to high transmission delay or buffer underflow. In this paper, in order to provide seamless video streaming over HSDPA, we propose an efficient real-time video streaming method that consists of the available bandwidth (AB) estimation for the HSDPA network and the transmission rate control to prevent buffer overflows/underflows. In the proposed method, the client estimates the AB and the estimated AB is fed back to the server through real-time transport control protocol (RTCP) packets. Then, the server adaptively adjusts the transmission rate according to the estimated AB and the buffer state obtained from the RTCP feedback information. Experimental results show that the proposed method achieves seamless video streaming over the HSDPA network providing higher video quality and lower transmission delay.
AB - Currently deployed mobile networks including High Speed Downlink Packet Access (HSDPA) offer only best-effort Quality of Service (QoS). In wireless best effort networks, the bandwidth variation is a critical problem, especially, for mobile devices with small buffers. This is because the bandwidth variation leads to packet losses caused by buffer overflow as well as picture freezing due to high transmission delay or buffer underflow. In this paper, in order to provide seamless video streaming over HSDPA, we propose an efficient real-time video streaming method that consists of the available bandwidth (AB) estimation for the HSDPA network and the transmission rate control to prevent buffer overflows/underflows. In the proposed method, the client estimates the AB and the estimated AB is fed back to the server through real-time transport control protocol (RTCP) packets. Then, the server adaptively adjusts the transmission rate according to the estimated AB and the buffer state obtained from the RTCP feedback information. Experimental results show that the proposed method achieves seamless video streaming over the HSDPA network providing higher video quality and lower transmission delay.
KW - Bandwidth estimation
KW - Buffer overflow/underflow
KW - HSDPA
KW - QoS
KW - Transmission rate control
KW - Video streaming
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U2 - 10.1587/transcom.E92.B.3893
DO - 10.1587/transcom.E92.B.3893
M3 - Article
VL - E92-B
SP - 3893
EP - 3902
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 12
ER -