QoE-driven cross-layer optimization in wireless networks addressing system efficiency and utility fairness

Thakolsri, Srisakul; Cokbulan, Serdar; Jurca, Dan; Despotovic, Zoran; Kellerer, Wolfgang

doi:10.1109/glocomw.2011.6162395

Cited by 21 publications

(13 citation statements)

References 11 publications

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“…The major objective of QoE provisioning via network QoS-aware resource allocation is to restated as to maximize users' aggregated sum of utilities, exploiting NUM methods and mechanisms [13]. In [14], video structural similarity is mapped to MOS scale and a tuning mechanism is proposed to improve the efficiency and fairness based on the utility function of MOS.…”

Section: B Utility Function Based Scheduling Schemementioning

confidence: 99%

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

Liu

Zhu

et al. 2015

2015 IEEE Symposium on Computers and Communication (ISCC)

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In LTE system, HTTP streaming services sometimes experience video quality deterioration because of the constraint of available wireless resources, which leads to reduce of Quality of Experience (QoE). In this paper, we propose a new scheduling scheme which is QoE-oriented from user's perceptive to improve the performance of HTTP streaming service in a LTE system. First of all, we adopt the jerkiness, frame freezing for example, perceived at an end user as the prominent QoE factor and implement a jerkiness measuring algorithm on end devices. Secondly, we implement a prioritized traffic flow scheduling algorithm at the base station, and put the end users who experience the maximum jerkiness to be scheduled with the highest priority. Finally, we compare the performance of the proposed QoE-oriented scheme with the traditional scheduling algorithm (i.e. Round Robin scheduling algorithm) in terms of jerkiness for HTTP streaming service. Simulation result shows that the proposed scheme can dramatically improve QoE from user's perspective by effectively decrease the jerkiness of HTTP streaming video.

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Section: B Utility Function Based Scheduling Schemementioning

confidence: 99%

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

Liu

Zhu

et al. 2015

2015 IEEE Symposium on Computers and Communication (ISCC)

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“…A unified utility function for QoS traffic and best effort traffic is proposed in [11]. In [12] and [13], the Mean Opinion Score (MOS) is used as a common utility metric for the quality of experience and the performance and feasibility are studied in LTE networks.…”

Section: State Of Artmentioning

confidence: 99%

Radio resource allocation in LTE using utility functions based on moving average rates

Tran

Wang

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, we propose a new algorithm to solve the downlink resource allocation problem in LTE networks taking the channel conditions into account. We first formulate the problem as a convex optimization problem, which maximizes the aggregated utility of all users. Different from other papers of the same topic, we construct the utility function based on the Exponential Moving Average (EMA) rate instead of the instantaneous data rate. The advantage of this approach is that it guarantees the users with very bad channel conditions still to be scheduled, even if the number of Physical Resource Blocks (PRBs) is smaller than the number of users. The problem is solved optimally with the Lagrangian decomposition method. Extensive simulations have been carried out to compare our approach to the instantaneous data rate approach and to analyze the influence of the system parameters on the behavior of the algorithm.

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“…A novel scheduling algorithm for wireless video communication was developed and a mapping model which reflects the relationship between Peak Signal-to-Noise Ratio (PSNR) and MOS was utilized in [5], which optimized the power allocation for multiple video services. [6,7,8] extracted the MOS value of video by adopting the Video Structure SIMilarity (VSSIM) index instead of PSNR, since human eyes are highly adapted to the structural distortion rather than the pixel-based distortion.…”

Section: Introductionmentioning

confidence: 99%

A QoE-oriented cross-layer resource allocation scheme for mobile service over Open Wireless Network

Wan

Wang

et al. 2014

2014 International Symposium on Wireless Personal Multimedia Communications (WPMC)

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this paper proposes a Quality of Experience (QoE)-oriented cross-layer resource allocation scheme for mobile service over Open Wireless Network (OWN). We adopt a mapping model between service rate and Mean Opinion Score (MOS) for BestEffort services. In addition, we adopt an efficient and low complexity algorithm calling Fast Structural SIMilarity (FSSIM), which can assess the quality of video with much better prediction performance than Peak Signal-to-Noise Ratio (PSNR). We map the FSSIM into MOS by using a mapping model. The cross-layer architecture presented in this paper jointly optimizes the Application (APP) layer, the Media Access Control (MAC) layer and the Physical (PHY) layer of the wireless protocol stack. On the basis of this architecture and the MOS of mobile services, we utilize the Binary Constrained Particle Swarm Optimization (B_CPSO) method to solve the cross-layer resource allocation problem. Simulation results show that the proposed scheme significantly outperforms the traditional scheduling scheme in terms of maximizing user-perceived quality as well as maintaining fairness among users.

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QoE-driven cross-layer optimization in wireless networks addressing system efficiency and utility fairness

Cited by 21 publications

References 11 publications

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

A QoE-oriented scheduling scheme for HTTP streaming service in LTE system

Radio resource allocation in LTE using utility functions based on moving average rates

A QoE-oriented cross-layer resource allocation scheme for mobile service over Open Wireless Network

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