Online Source Rate Control for Adaptive Video Streaming Over HSPA and LTE-Style Variable Bit Rate Downlink Channels

Yang, Jian; Ran, Yongyi; Chen, Shuangwu; Li, Weiping; Hanzo, Lajos

doi:10.1109/tvt.2015.2398515

Cited by 13 publications

(10 citation statements)

References 31 publications

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“…For an SVC scenario, a scalable video stream consists of a base layer a 1 and (A − 1) enhancement layers, i.e., a 2 , a 3 , ..., a A . The operational mode Q b (b = a, .., A) is defined as the scenario when the first b layers are selected for transmission [25].…”

Section: Adaptive Resource Allocation For Video Streamingmentioning

confidence: 99%

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Performance Study of Adaptive Video Streaming in an Interference Scenario of Femto-Macro Cell Networks

Yahiya

Kirci

2018

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Abstract:The demand for video traffic is increasing over mobile networks that are taking another shape by its heterogeneity. However, the wireless link capacity cannot cope with the traffic demand. This is due to the interference problem that can be considered as the most important challenge in heterogeneous networks. Consequently, it will result in poor service for the quality of video streaming such as the bad quality delivery, service interruption, etc. In this paper, we propose a solution for interference mitigation in the context of heterogeneous networks through power control mechanism, while guaranteeing the Quality of Service of the video streaming. We derive a model for adapting the video bit rate to match the channel's achievable bit rate. Our results demonstrate a high satisfaction for video streaming in terms of delay and throughput.

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Section: Adaptive Resource Allocation For Video Streamingmentioning

confidence: 99%

“…We hereby define the term "resolution" to indicate the level of temporal segmentation and the number of ELs [25]. To this regard, if BL is guaranteed to be delivered, while more ELs can be also obtained when the link can afford it, a better video quality can be expected.…”

Section: Matching Between Resource Blocks and Svc Segmentsmentioning

confidence: 99%

Performance Study of Adaptive Video Streaming in an Interference Scenario of Femto-Macro Cell Networks

Yahiya

Kirci

2018

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“…Therefore, enhancing video transmission over LTE has become an important issue. There were several approaches to optimize video delivery efficiency over LTE [23]- [26]. Most consider resource allocation (or scheduling) for multiple video streams which share communication resources [23]- [25].…”

Section: Introductionmentioning

confidence: 99%

“…The optimization is performed with consideration of a delay constraint, average data rate and available data rate. Yang et al [26] proposed to adaptively change the video source bit rate according to the variation of the expected data rate. Note that this requires re-encoding Cross-layer optimization model between application layer and PHY/MAC layers for video QoE enhancement.…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer Resource Allocation Using Video Slice Header Information for Wireless Transmission Over LTE

Jung

Song

Cosman

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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In this paper, cross-layer resource allocation methods for wireless video transmission are proposed. We propose two practical metrics to measure the relative importance of each forward error correction (FEC) block to the user's quality of experience. They can be obtained from the header information, and require no overhead bits or amendment of the header format of the existing standard video codec. We discuss adaptive modulation and coding scheme allocation, and adaptive energy allocation for the FEC blocks of a group of pictures. We also provide low-complexity resource allocation solutions. In both approaches, we consider two types of slice packetization, which affect the priority of FEC blocks. The proposed cross-layer resource allocation methods have significant performance gain over equal error protection, and similar performance to more complicated algorithms.

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“…However, the insights provided can be used in future works to study the scenarios with limited buffer capacities, where the buffer overflow events can also affect the end-to-end packet delays due to the need for repeated transmissions. In such scenarios, for reducing buffer overflow incidents, a buffer-aware source rate control mechanism can be exploited to adjust the traffic load in the network [17]. Also, buffer-aware resource allocation methods similar to [18] can be employed to efficiently serve the system queues.…”

Section: Introductionmentioning

confidence: 99%

Buffer-aided relaying improves both throughput and end-to-end delay

Hajipour

Ruby

Mohamed

et al. 2015

J Wireless Com Network

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Buffer-aided relaying has recently attracted a lot of attention due to the improvement in the system throughput. However, a side effect usually deemed is that buffering at relay nodes results in the increase of packet delays. In this paper, we study the effect of buffering at relays on the end-to-end delay of users' data, from the time they arrive at the source until delivery to the destination. We use simple discussions to provide an insight on the overall waiting time of the packets in the system, taking into account the queue dynamics both in the source and relay. We analyze the endto-end delay in the relay networks with Bernoulli data arrivals and channel conditions and prove that the data packets experience lower average end-to-end delay in the buffer-aided relaying system compared with the conventional one. Moreover, using intuitive generalizations, we conclude that the use of buffers at relays improves not only throughput but ironically the average end-to-end packet delay. Through extensive simulations, we validate our analytical results for the system when the data arrival and channel condition processes follow Bernoulli distribution. Furthermore, via the simulations under the settings of practical systems, we confirm our intuition for the general scenarios.

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Online Source Rate Control for Adaptive Video Streaming Over HSPA and LTE-Style Variable Bit Rate Downlink Channels

Abstract: Abstract-Online source rate control (RC) is designed for video

Cited by 13 publications

References 31 publications

Performance Study of Adaptive Video Streaming in an Interference Scenario of Femto-Macro Cell Networks

Performance Study of Adaptive Video Streaming in an Interference Scenario of Femto-Macro Cell Networks

Cross-Layer Resource Allocation Using Video Slice Header Information for Wireless Transmission Over LTE

Buffer-aided relaying improves both throughput and end-to-end delay

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