Performance measurements and evaluation of video streaming in HSDPA networks with 16QAM modulation

Ruser, H.; Halvorsen, Pål; Griwodz, Carsten; Hestnes, B.

doi:10.1109/icme.2008.4607478

Cited by 15 publications

(18 citation statements)

References 4 publications

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“…The general idea of the lookup service can be applied to any kind of network, but in our initial proof-of-concept prototype, we have used the available 3G mobile network (Universal Mobile Telecommunications System (UMTS)) in Oslo. We have earlier reported significant fluctuations in network conditions with this kind of network [Riiser et al 2008], making it a good test case. To perform the field experiments in this study, we used laptops with GPS (Haicom HI-204III USB GPS) and 3G mobile Internet devices (Huawei Model E1752 HSPA USB stick) as mobile video streaming devices.…”

Section: Bandwidth Monitoringmentioning

confidence: 99%

Video streaming using a location-based bandwidth-lookup service for bitrate planning

Riiser¹,

Endestad²,

Vigmostad³

et al. 2012

ACM Trans. Multimedia Comput. Commun. Appl.

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120

106

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A lot of people around the world commute using public transportation and would like to spend this time viewing streamed video content such as news or sports updates. However, mobile wireless networks typically suffer from severe bandwidth fluctuations, and the networks are often completely unresponsive for several seconds, sometimes minutes. Today, there are several ways of adapting the video bitrate and thus the video quality to such fluctuations, e.g., using scalable video codecs or segmented adaptive HTTP streaming that switches between non-scalable video streams encoded in different bitrates. Still, for a better long-term video playout experience that avoids disruptions and frequent quality changes while using existing video adaptation technology, it is desirable to perform bandwidth prediction and planned quality adaptation. This paper describes a video streaming system for receivers equipped with a GPS. A receiver's download rate is constantly monitored, and periodically reported back to a central database along with associated GPS positional data. Thus, based on the current location, a streaming device can use a GPS-based bandwidth-lookup service in order to better predict the near-future bandwidth availability and create a schedule for the video playout that takes likely future availability into account. To create a prototype and perform initial tests, we conducted several field trials while commuting using public transportation. We show how our database has been used to predict bandwidth fluctuations and network outages, and how this information helps maintain uninterrupted playback with less compromise on video quality than possible without prediction.

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Section: Bandwidth Monitoringmentioning

confidence: 99%

Video streaming using a location-based bandwidth-lookup service for bitrate planning

Riiser¹,

Endestad²,

Vigmostad³

et al. 2012

ACM Trans. Multimedia Comput. Commun. Appl.

Self Cite

120

106

View full text Add to dashboard Cite

show abstract

“…A remaining challenge is to adapt streaming to the unpredictable behavior of wireless networks like General Packet Radio Service (GPRS) and High-Speed Downlink Packet Access (HSDPA). With mobile receivers in such networks, fluctuating network bandwidths strongly influence the video streaming service performance [4,18], raising a need for bitrate adaptation to cope with temporary connection loss, appearance of new networks, high error rates, insufficient channel capacity, etc.…”

Section: Related Workmentioning

confidence: 99%

“…To adapt to varying resource availability, media adaptation is frequently used, and in the case of video delivery, adaptive HTTP streaming (e.g., [13,15,22]) is currently the dominating technology. In the case of streaming to mobile clients, a well known problem is fluctuating bandwidth [18]. The current HTTP solutions enable the video quality to adapt and follow the bandwidth fluctuations in the network.…”

Section: Introductionmentioning

confidence: 99%

Mobile video streaming using location-based network prediction and transparent handover

Evensen

Petlund

Riiser³

et al. 2011

Proceedings of the 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video

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A well known challenge with mobile video streaming is fluctuating bandwidth. As the client devices move in and out of network coverage areas, the users may experience varying signal strengths, competition for the available resources and periods of network outage. These conditions have a significant effect on video quality.In this paper, we present a video streaming solution for roaming clients that is able to compensate for the effects of oscillating bandwidth through bandwidth prediction and video quality scheduling. We combine our existing adaptive segmented HTTP streaming system with 1) an application layer framework for creating transparent multi-link applications, and 2) a location-based QoS information system containing GPS coordinates and accompanying bandwidth measurements, populated through crowd-sourcing. Additionally, we use real-time traffic information to improve the prediction by, for example, estimating the length of a commute route. To evaluate our prototype, we performed realworld experiments using a popular tram route in Oslo, Norway. The client connected to multiple networks, and the results show that our solution increases the perceived video quality significantly. Also, we used simulations to evaluate the potential of aggregating bandwidth along the route.

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“…Thus, the system must be able to combine content arbitrarily and scale the quality according to end-device and resource availability. In particular, bandwidth fluctuations in unstable mobile networks may be large [10] making adaptive video streaming a necessity.…”

Section: Introductionmentioning

confidence: 99%

Low overhead container format for adaptive streaming

Riiser¹,

Halvorsen

Griwodz

et al. 2010

Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems

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Current segmented HTTP streaming systems provide scalable and quality adaptive video delivery services to a huge number of users. However, while they support a wide range of bandwidths and enable arbitrary content-based composition, their current formats have shortcomings like large overheads, live streaming delays, etc. We have therefore developed an adaptive media player that works around these problems while still using standard components like H.264/ AVC for video, and MP3 for audio. The system's adaptivity allows the player to pick a quality level that makes good use of available bandwidth and CPU resources while at the same time maintaining smooth uninterrupted playback, as well as offering near instant seek and startup times. This paper presents an appropriate way of coding the segments and a simple multimedia container format that is optimized for adaptive streaming and video composition over HTTP. We show that our format is sufficiently advanced to contain any payload type, while being trivial to parse and translate to other container formats. Additionally, we show that our format is second to none in terms of overhead, without incurring any penalties on live streaming.

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Performance measurements and evaluation of video streaming in HSDPA networks with 16QAM modulation

Cited by 15 publications

References 4 publications

Video streaming using a location-based bandwidth-lookup service for bitrate planning

Video streaming using a location-based bandwidth-lookup service for bitrate planning

Mobile video streaming using location-based network prediction and transparent handover

Low overhead container format for adaptive streaming

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