A low-latency scheduling approach for high-definition video streaming in a heterogeneous wireless network with multihomed clients

Wu, Jiyan; Qiao, Xiuquan; Xia, Yamei; Yuen, Chau; Chen, Junliang

doi:10.1007/s00530-014-0388-7

Cited by 21 publications

(14 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The video encoding rates are set to be 1 Mbps (24 fps), 2 Mbps (48 fps) and 2.5 Mbps (60 fps) in both Wi-Fi and cellular networks. These video encoding and frame rates are selected according to existing studies in cloud gaming applications and video streaming [1][4] [16]. Specifically, the 1 Mbps encoding rate represents the standard-quality video streaming.…”

Section: A Evaluation Methodologymentioning

confidence: 99%

“…Huang et al [14] propose a hybrid FEC/ARQ protocol built on a packet streaming code. In [16] [60], the authors propose a sub-frame level scheduling approach to minimize the end-to-end delay of high-definition (HD) video streaming over multiple wireless access networks. Xiao et al [42] propose a Dynamic Sub-GoP FEC coding scheme to optimize real-time video quality.…”

Section: Delay-constrained Video Communicationmentioning

confidence: 99%

See 1 more Smart Citation

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Yuen

Cheung

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

Self Cite

View full text Add to dashboard Cite

High frame rate (HFR) video is emerging in popular gaming applications to enhance the smooth experience perceived by end-users. However, it is challenging to guarantee the delivery quality of HFR video in mobile cloud gaming scenarios because of the high transmission rate and limited wireless resources. To address this critical problem, we develop a novel transmission scheduling framework dubbed AdaPtive HFR vIdeo Streaming (APHIS). The term "adaptive" indicates this scheme's capability in dynamically adjusting the video traffic load and FEC (Forward Error Correction) coding. First, we propose an online video frame selection algorithm to minimize the total distortion based on the network status, input video data and delay constraint. Second, we introduce an unequal FEC coding scheme to provide differentiated protection for Intra (I) and Predicted (P) frames with low-latency cost. The proposed APHIS framework is able to appropriately filter video frames and adjust data protection levels to optimize the quality of HFR video streaming. We conduct extensive emulations in Exata involving HFR video encoded with H.264 codec. Experimental results show that APHIS outperforms the reference transmission schemes in terms of video PSNR (Peak Signal-to-Noise Ratio), end-to-end delay, and goodput. Therefore, we recommend APHIS for delivering HFR video streaming in mobile cloud gaming systems.Index Terms-High frame rate video, mobile cloud gaming, video frame selection, unequal error protection, forward error correction.

show abstract

Section: A Evaluation Methodologymentioning

confidence: 99%

Section: Delay-constrained Video Communicationmentioning

confidence: 99%

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Yuen

Cheung

et al. 2015

IEEE Trans. Circuits Syst. Video Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Real-time video delivery is restricted by tight delay constraints of a few hundreds milliseconds. Recent researches [6][7] suggest that the worst case one-way transmission delay should be less than 250 ms to achieve satisfactory video quality. • Throughput.…”

Section: Introductionmentioning

confidence: 99%

Trading Delay for Distortion in One-Way Video Communication Over the Internet

Cheng

Yuen

et al. 2016

IEEE Trans. Circuits Syst. Video Technol.

Self Cite

View full text Add to dashboard Cite

We study the problem of one-way video communication in single-source, multiple-destination scenario over the lossy Internet. Forward Error Correction (FEC) coding is commonly adopted for data protection in implementing loss-resilient video transmission systems. However, the burst packet losses over the Internet frequently degrade the FEC performance and induce video quality deteriorations. To address the challenging problem, we propose a novel transmission scheme dubbed Trading dELay FOR Distortion (TELFORD) that includes three components: 1) adaptive multi-destination status estimation; 2) delay-constrained transmission rate assignment; 3) differentiated FEC packets spreading. We analytically formulate and solve the problem of FEC packets allocation and scheduling to minimize the endto-end video distortion. The proposed TELFORD is able to cope with multiple-destination scheduling separately. We conduct the performance evaluation through semi-physical emulations in Exata using real-time H.264 video streaming. Experimental results show that TELFORD outperforms existing error control transmission schemes in improving the video PSNR (Peak Signalto-Noise Ratio) and mitigating packet transmission impairments.

show abstract

“…To a certain extent, the mesh network reduces the power consumption and achieves the coverage of a larger area, but it cannot completely solve the contradiction between the power consumption and real time of LoRa wireless network [16][17][18][19]. Some additional interference or space extension may result in loss of signal transmission capability.…”

Section: Introductionmentioning

confidence: 99%

“…International Journal of Digital Multimedia Broadcasting existing method cannot deal with the contradiction between power consumption and real time [11,16,22], which is an obstacle to the multimedia information transmission. To fill this gap, the paper proposes an improved algorithm to solve the problem.…”

mentioning

confidence: 99%

An Improved Artificial Bee Colony Algorithm in LoRa Wireless Communication System for Efficient Multimedia Transmission

Song

Huang

et al. 2018

International Journal of Digital Multimedia Broadcasting

View full text Add to dashboard Cite

Video streaming communication networks will be a very important way to send multimedia information anytime and anywhere, and the construction of the network base station which transmits signals is crucial in future. However, there is a contradiction between the power consumption of LoRa nodes and the real-timeliness of mesh network. In order to solve the contradiction, this article aims to combine the mesh network of LoRa wireless communication system with an improved artificial bee colony algorithm. Specifically, an artificial bee colony algorithm, which is based on RBF radial basis neural network trained with random gradient method, is designed. Simulation results show that the proposed algorithm solves the contradiction between power consumption and real-timeliness effectively. When using this improved network system structure to send multimedia information, it shows obvious superiority in terms of the high efficiency and real-timeliness of multimedia transmission.

show abstract

A low-latency scheduling approach for high-definition video streaming in a heterogeneous wireless network with multihomed clients

Cited by 21 publications

References 25 publications

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Enabling Adaptive High-Frame-Rate Video Streaming in Mobile Cloud Gaming Applications

Trading Delay for Distortion in One-Way Video Communication Over the Internet

An Improved Artificial Bee Colony Algorithm in LoRa Wireless Communication System for Efficient Multimedia Transmission

Contact Info

Product

Resources

About