A low complexity algorithm of packet scheduling and resource allocation for wireless VoD systems

Li, Fan; Liu, Guizhong; He, Lijun

doi:10.1109/tce.2010.5506039

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…This strategy is similar to the ones proposed in [9][10][11][12]. The algorithm comprises a two step process.…”

Section: Simulation Scenariomentioning

confidence: 99%

“…The packet of a flow contributing largest to the video quality and in possession of the least number of subcarriers is scheduled in priority. Similar distortion-based joint packet scheduling and subcarrier assignment policies are presented in [9][10][11]. The strategies in [9][10][11][12][13] drop the packets violating the preassigned delay bound.…”

Section: Content-aware Scheduling and Resource Allocation At The Enodebmentioning

confidence: 99%

“…In order to provide QoE-based video delivery, two classes of strategies exist in the literature. One of the solutions comprises a video quality-aware packet scheduling and radio resource allocation strategy as proposed in [9][10][11][12][13]. The information on the content of different video traffic flows is provided through cross-layer signaling to the eNodeB.…”

Section: Introductionmentioning

confidence: 99%

“…As a key difference from existing content-aware scheduling rules, such as in [9][10][11][12][13], the scheduler avoids video content processing capabilities at the eNodeB by utilizing the QoE-aware priority marking.…”

Section: Introductionmentioning

confidence: 99%

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QoE-driven multi-user scheduling and rate adaptation with reduced cross-layer signaling for scalable video streaming over LTE wireless systems

Khan

Martini

2016

J Wireless Com Network

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The scarcity of the available radio spectrum coupled with the growing popularity of bandwidth intensive mobile video applications poses a huge challenge to network operators. The solution of over-provisioning the network is not economical; hence, an appropriate strategy for scheduling and resource allocation among the users in the system is of crucial importance. This work focuses on scheduling multiple video flows on the downlink of a wireless system based on orthogonal frequency division multiple access (OFDMA), such as Long-Term Evolution (LTE) and LTE-A (LTE-Advanced) standards. We propose a joint multi-user scheduling and multi-user rate adaptation strategy providing an appropriate trade-off between efficiency and fairness, while ensuring high quality of experience (QoE) for the end users. We consider Scalable Video Coding (SVC) which facilitates the truncation of bit streams, thus allowing graceful degradation of video quality in the event of wireless channel variations or network congestion. The proposed scheduler utilizes QoE-aware priority marking, where video layers are mapped to priority classes and targets at minimizing delay bound violations for the most important priority classes under congestion. In order to reduce congestion, we propose multi-user rate adaptation at the MAC layer via a novel dynamic filtering policy for QoE-based priority classes. Simulation results show that the proposed approach delivers to the end users a similar QoE as delivered by the stateof-the-art cross-layer approaches, where extensive cross-layer signaling, additional video rate adaptation modules at the core network, and frequent link probing from the wireless access network to the rate adaptation modules are required. The latter approaches are not implemented in real systems due to the aforementioned drawbacks, while our approach can be implemented without major modifications in the standard behavior of existing networks and equipment. The proposed framework can deliver delay-sensitive traffic as well as delay-tolerant best-effort traffic.

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“…This strategy is similar to the ones proposed in [9][10][11][12]. The algorithm comprises a two step process.…”

Section: Simulation Scenariomentioning

confidence: 99%

Section: Content-aware Scheduling and Resource Allocation At The Enodebmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

QoE-driven multi-user scheduling and rate adaptation with reduced cross-layer signaling for scalable video streaming over LTE wireless systems

Khan

Martini

2016

J Wireless Com Network

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show abstract

“…In other words, the subcarrier is assigned to a flow having the best channel gain and the video packet with the largest contribution to the video quality. Similar distortion based joint packet scheduling and subcarrier assignment policies are presented in [2], [3], [4]. The main goal of these strategies is to maintain fairness across different users and minimise the received video distortion of every user by adopting fine granular video quality based packet scheduling and radio resource allocation approaches.…”

Section: Introductionmentioning

confidence: 99%

Hysteresis based rate adaptation for scalable video traffic over an LTE downlink

Khan

Martini

2015

2015 IEEE International Conference on Communication Workshop (ICCW)

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This work focuses on scheduling multiple video flows on the downlink of a wireless system based on Orthogonal Frequency Division Multiple Access (OFDMA), such as the LTE/LTE-A standard. We propose a joint multi-user scheduling and multi-user rate adaptation strategy by considering Scalable Video Coding (SVC) which facilitates the truncation of bit streams, thus allowing graceful degradation of video quality in the event of wireless channel variations or network congestion. The proposed scheduler utilizes Quality of Experience (QoE)aware priority marking, where video layers are mapped to priority classes, and targets at minimizing delay bound violations for the most important priority classes under congestion. In order to reduce congestion, we propose multi-user rate adaptation at the MAC layer via a novel dynamic filtering policy for QoE based priority classes. Simulation results show that the proposed approach delivers to the end users a better QoE, with lower complexity, than state-of-the-art cross-layer approaches.

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Remote Radio Head Scheduling in LTE-Advanced Networks

Ramdev

Bajaj

Sidhu

2021

Wireless Pers Commun

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A low complexity algorithm of packet scheduling and resource allocation for wireless VoD systems

Cited by 9 publications

References 11 publications

QoE-driven multi-user scheduling and rate adaptation with reduced cross-layer signaling for scalable video streaming over LTE wireless systems

QoE-driven multi-user scheduling and rate adaptation with reduced cross-layer signaling for scalable video streaming over LTE wireless systems

Hysteresis based rate adaptation for scalable video traffic over an LTE downlink

Remote Radio Head Scheduling in LTE-Advanced Networks

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