Radio resource scheduling using packet-level service differentiation for video over the LTE downlink

Lai, Wen-Ping; Liou, En-Cheng; Chen, Ping-Chi

doi:10.1109/iccchina.2014.7008395

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…The others are simply some sort of combination of and and thus both channel-aware and QoS-aware with a tight real-time delay budget [9], say at 150 ms for conversational video communication, meaning that any headof-line packet delay larger than this budget will trigger the removal of that head-of-line packet from its transmit queue and thus save some radio resources. In our previous study [7], the superiority of the proposed GLWDF scheduling metric over EXPPF and MLWDF [10] has been demonstrated based on the EPL scheme, which was introduced as the power term of and make possible differential scheduling among packets of a single video flow, not achievable by any other conventional scheme. Hence, as a validation scenario for the proposed RGI scheme in this study, the power term of GLWDF will serve as a basic framework for designing an improved GLWDF-like scheduling metric to validate RGI's superiority over both the I/P and EPL schemes, and thus the power term EPL will be replaced by the RGI or I/P scheme for performance evaluation.…”

Section: B Lte Scheduling Metrics For Radio Resource Blocksmentioning

confidence: 99%

“…The network resource allocation issue for applying RGI can thus be pinned down to be the packet scheduling problem of radio resource blocks (RBs) of the LTE base station (eNodeB). Many fundamental details of LTE have been described in [5][6][7], and the following highlights the relevant concepts for scheduling the RBs of eNodeB among multiple user equipments (UEs). Fig.…”

Section: B Lte Scheduling Metrics For Radio Resource Blocksmentioning

confidence: 99%

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RGI: Bit-rate modeling of a novel real-time picture-importance scheme for robust video over the LTE downlink

Lai

Liou

Chiu

2015

2015 International Conference on Connected Vehicles and Expo (ICCVE)

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This paper presents a study on modeling a realtime picture-importance scheme, which is a dilemma problem between high accuracy and real-time applicability. A novel scheme called real-time group-of-pictures-averaged index (RGI) is proposed with two objectives: (1) providing a higher accuracy than the conventional real-time schemes such as I/P and EPL, and (2) still meeting the desired real-time constraint. The higher accuracy is achieved based on a numerical modeling of the effect of target streaming bit-rate change on the priority ordering of member pictures in the same group-of-pictures (GOP), and the fitted results to this effect can thus provide an empirical law for a real-time interpolated prediction of picture importance in a video stream of any target bit-rate. Our results show that the superiority of RGI over the I/P and EPL schemes through a simulation validation of real-time video delivery over the LTE downlink, and the performance gains of video quality are substantial under different congestion levels for various bit-rates and moving speeds of user equipments.

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Section: B Lte Scheduling Metrics For Radio Resource Blocksmentioning

confidence: 99%

Section: B Lte Scheduling Metrics For Radio Resource Blocksmentioning

confidence: 99%

RGI: Bit-rate modeling of a novel real-time picture-importance scheme for robust video over the LTE downlink

Lai

Liou

Chiu

2015

2015 International Conference on Connected Vehicles and Expo (ICCVE)

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“…The metric used to select real time flows considers the head of a line packet delay and the metric for non-real time flows is the one of the PF [9]. In [10], the author proposes a scheduling algorithm for the LTE downlink aiming to improve the delay and the throughput of the users in the system. The GLWDF (Generalized Largest Weighted Delay First) scheduler algorithm is an improvement over the conventional MLWDF scheduler algorithm.…”

Section: Related Workmentioning

confidence: 99%

Enhanced PF Scheduling Algorithm for LTE Networks

Oliveira

Góis²

2022

Int. j. commun. netw. inf. secur.

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Scheduling Algorithm is a key Radio ResourceManagement (RRM) mechanism to achieve Quality of Service(QoS) requirements and to optimize system performance of LongTerm Evolution (LTE) network. The LTE standard does notspecify a scheduling algorithm and some schedules have beenproposed in the literature. Most of them consider the channelstate or some QoS metric, however, they do not consider thePF characteristics and the delay required by the user. Then, anenhanced scheduling algorithm was proposed based on Latency-Rate (LR) server theory and system characteristics specifiedby the LTE standard. Properties of this proposal have beeninvestigated theoretically and through simulations. A simulationis presented with video traffic and also performance comparisonswith Proportional Fairness (PF) and Modified Largest WeightedDelay First (MLWDF) schedulers. The results show that theproposed schedule has a better performance compared with theabove schedulers.

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“…Requirements like Voice over LTE (VoLTE) and audio/video streaming impose their own real-time performance requirements which have to be handled to provide proper user experience. A radio resource scheduling algorithm for video streaming is discussed in [1]. It proposes a packetlevel service differentiation to improve the throughput.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in Downlink of LTE using Bandwidth Prediction Through Statistical Information

Gayathri¹,

Sabitha²

2018

IJEECS

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<span lang="EN-US">Long Term Evolution (LTE) is the technology used in modern third and fourth generation mobile wireless cellular networks. Due to the presence of large number of users, mobility and varying channel conditions, proper resource allocation is essential to provide a good user experience and improve the system throughput. In this paper, a resource allocation algorithm is implemented that will use the probabilistic models to predict the channel condition and allocate resources accordingly. Also, the algorithm will support QoS requirements. During the resource allocation, the channel quality information is collected and analyzed to predict the future channel conditions and resource allocation vectors are configured accordingly. The performance of the algorithm is analyzed based upon the data collected. The algorithm is able to provide a reasonable success rate for channel prediction. By using the resource allocation vectors and channel prediction, the algorithm performance also is improved considerably due to the lesser space and time complexity required.</span>

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Radio resource scheduling using packet-level service differentiation for video over the LTE downlink

Cited by 6 publications

References 8 publications

RGI: Bit-rate modeling of a novel real-time picture-importance scheme for robust video over the LTE downlink

RGI: Bit-rate modeling of a novel real-time picture-importance scheme for robust video over the LTE downlink

Enhanced PF Scheduling Algorithm for LTE Networks

Resource Allocation in Downlink of LTE using Bandwidth Prediction Through Statistical Information

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