Streaming applications over HSDPA in mixed service scenarios

Lundevall, M.; Olin, B.; Olsson, J.; Wiberg, N.; Wänstedt, Stefan; Eriksson, Jonas; Eng, F.

doi:10.1109/vetecf.2004.1400139

Cited by 54 publications

(29 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This may be caused by the scheduling algorithm used in the base station. If the base station uses streaming-aware scheduling algorithms (described in [2] and [3]) that try to maintain the bandwidth of streaming users, the consequence may be that mere coincidence decides which streams are able to sustain their required streaming rate and which streams are victims to packet dropping.…”

Section: Evaluation Of Hsdpa For Video Streamingmentioning

confidence: 99%

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

Ruser¹,

Halvorsen

Griwodz

et al. 2008

2008 IEEE International Conference on Multimedia and Expo

View full text Add to dashboard Cite

The High-Speed Downlink Packet Access (HSDPA) communication protocol improves downlink performance on mobile networks and is currently being deployed in networks around the world. In Norway, two operators started offering this service in 2007. This article discusses performance measurements done in Telenor's HSDPA network in Oslo in the context of video streaming. In particular, we present the results of streaming experiments measuring characteristics such as packet loss, latency, jitter and bit-errors. Based on this data, we evaluate the HSDPA network's suitability for real-time video streaming, and discuss what can be done to improve the quality of video streaming under the observed network characteristics.

show abstract

Section: Evaluation Of Hsdpa For Video Streamingmentioning

confidence: 99%

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

Ruser¹,

Halvorsen

Griwodz

et al. 2008

2008 IEEE International Conference on Multimedia and Expo

View full text Add to dashboard Cite

show abstract

“…The packet scheduler plays a key role in the system especially for the downlink because it can provide the quality of service targets that should be met for applications [5][6][7][8][9][10][11][12][13][14][15][16]. Scheduler designers need to consider the allocations logically and physically.…”

Section: Introductionmentioning

confidence: 99%

Channel condition self-clocked packet scheduling scheme for wireless networks

Chen

et al. 2013

J Wireless Com Network

View full text Add to dashboard Cite

Since mobile hosts suffer from burst and location-dependent channel errors in wireless networks, packet fair queueing algorithm in wireline networks cannot be applied directly to wireless networks. Generally, a fair scheduler in a wireless network retains the virtual time of flow when the flow encounters channel errors. This results to the flow having higher priority when it exits from errors, and the system can compensate the lost service for the flow. This causes the lagging flows to capture the shared channel and affects the queueing delay of flows perceiving a clean channel. In this paper, we present a channel condition self-clocked packet scheduling scheme. This algorithm can address the problem and achieve the following goals: (1) steady delay and jitter for flows perceiving an error-free environment, (2) delay and throughput guarantees in an error-free environment, (3) short-term fairness among flows perceiving an error-free environment, and (4) long-term fairness for error system. Our algorithm is based on start-time fair queueing, and the virtual time of flows is reset to contend for forwarding its packet the next time when errors happen for the flow.

show abstract

“…These techniques enable lower link latency and significantly higher data rates in comparison to earlier UMTS releases, making HSDPA a key step in the evolution toward mobile broadband Internet. Research on engineering HSDPA networks ranges from analysis of physicaland link-layer capacity [8,16], resource sharing and admission control strategies [4,21], scheduling policies [6,10,15,18], to performance consideration in network dimensioning and planning [3,20,26,28]. The last topic is becoming increasingly important as the HSDPA service grows rapidly in scale, and it leads to new optimization problems in view of the current literature (e.g., [2,19]).…”

Section: Introductionmentioning

confidence: 99%

Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

Chen

Yuan

2011

Telecommun Syst

View full text Add to dashboard Cite

Abstract-Coverage planning is an important engineering task in deploying UMTS networks implementing both high speed downlink packet access (HSDPA) and Release 99 (R99) services. Coverage planning amounts to determining the cell coverage pattern by means of setting the common pilot channel (CPICH) power of the cells. A conventional strategy is to uniformly allocate a proportion of the total power to CPICH. In this paper, we develop mathematical modeling and optimization approaches to bring the benefit of power saving enabled by optimizing nonuniform CPICH to enhance HSDPA performance, while preserving a desired degree of soft handover (SHO) for R99. The study focuses on HSDPA performance at cell edges, where data throughput is typically low. An integer linear programming model is developed for the resulting optimization problem. The model admits optimal or near-optimal planning solutions for relatively small networks. Solution algorithms based on local search and repeated local search are developed. These algorithms are able to perform the optimization for large-scale networks time-efficiently. Experimental results for both synthesized networks as well as instances originating from real planning scenarios demonstrate the benefit of our optimization approach.

show abstract

Streaming applications over HSDPA in mixed service scenarios

Cited by 54 publications

References 6 publications

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

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

Channel condition self-clocked packet scheduling scheme for wireless networks

Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

Contact Info

Product

Resources

About