QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems

Ameigeiras, Pablo; Ramos-Muñoz, Juan J.; Navarro-Ortiz, Jorge; Mogensen, Preben; López-Soler, Juan M.

doi:10.1016/j.comcom.2009.10.016

Cited by 88 publications

(41 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These algorithms incorporate the level of customer satisfaction in the resource allocation through the use of utility functions that may be obtained from surveys of the users' subjective experienced quality (like the one in [31]), or may be designed based on the traffic habits or desired fairness in the network [32]. The Utility Theory proposes the optimization objective of maximizing the aggregate utility over all users in a cell for a given utility function U(·) [26].…”

Section: Packet Scheduling Based On Utility Theorymentioning

confidence: 99%

Traffic models impact on OFDMA scheduling design

Ameigeiras

Wang

Navarro-Ortiz

et al. 2012

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

This article studies the impact on the design of scheduling algorithms for Orthogonal Frequency Division Multiple Access (OFDMA) systems of two traffic models described in the evaluation methodology proposals from standardization bodies: the full buffer and the finite buffer traffic models. The analysis concentrates on utility-based scheduling with an α-fair utility function for Non-Real Time (NRT) services. The results show that a gradient scheduling algorithm is able to maximize the aggregate utility over all the users when the less realistic full buffer model is adopted; but not when the finite buffer model is applied. The results also show that with the full buffer model a gradient scheduler exhibits a trade-off between average user throughput and the user throughput at 5% outage, but it does not when the more realistic finite buffer is used. Therefore, it is concluded that designs of scheduling algorithms for NRT services for OFDMA systems carried out under the full buffer model assumption may fail to provide the desired performance benefits in realistic scenarios. Based on the results presented, a recommendation on scheduling design is provided.

show abstract

Section: Packet Scheduling Based On Utility Theorymentioning

confidence: 99%

Traffic models impact on OFDMA scheduling design

Ameigeiras

Wang

Navarro-Ortiz

et al. 2012

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

show abstract

“…Amy Csizmar Dalal et al [5] assessed QoE of TCP video streams from objective, application-layer measurement. However, they just consider application metrics influence on video quality, which may provide little information for network optimization and quality improvement.…”

Section: Related Workmentioning

confidence: 99%

An objective multi-layer QoE Evaluation for TCP video streaming

Liu

Yang

et al. 2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

View full text Add to dashboard Cite

It's a challenge to effectively assess Quality of Experience (QoE) for TCP video streaming with network performance parameters, to resolve this problem, an objective hierarchical Evaluation for Transmission Control Protocol (TCP) video streaming is proposed under video playback scenarios. QoE assessment for TCP video streaming is resolved into two sub-steps. In the first place, in consideration of video playback performance parameters affecting QoE, the authors demonstrate three novel application-layer metrics. Further, impact of network status on video playback performance is investigated and the authors propose high level network-layer parameters. Then the correlation between the network-layer parameters and application-layer metrics is characterized through analysis and inference. In the secondly place, subjective tests are conducted to evaluate QoE from application-layer metrics. Ultimately, the authors validate analysis and model by simulations and experiments in real networks. The experimental study shows that the proposed method performs well in assessing QoE of TCP video streaming.

show abstract

“…Such techniques can only react on a round-trip time timescale, which is orders of magnitude larger than the packet transmission timescale. Other works ( [12]- [14]) advocate using MOS for allocating resources inside the network. Some (e.g., [12]- [13]) solve a cross-layer optimization problem, whose objective is to optimize the sum of the MOS for a set of users.…”

Section: Introductionmentioning

confidence: 99%

OptiMOS: Optimal MOS-based scheduling of downlink voice flows in point-to-multipoint access networks

Andreozzi

Stea

Sabella

2010

2010 IEEE International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

View full text Add to dashboard Cite

We introduce OptiMOS, a method for selecting deadlines for the scheduling of downlink voice flows in a centralized-scheduling point-to-multipoint network. These include cellular networks such as LTE, UMTS HSDPA, or WiMAX, and WLANs with centralized control. OptiMOS selects the deadline of each packet so as to maximize the expected Mean Opinion Score (MOS) for the talkspurt it belongs to. It requires that absolute time is both included in RTP timestamps at the source and checked for scheduling decisions, in a cross-layer approach. OptiMOS can be employed in conjunction with any deadline-based scheduling algorithm, and does not require a specific playout buffering scheme at the receiver. Simulations of an LTE system show a performance improvement in terms of MOS for the VoIP flows, good tolerance to relatively large synchronization errors and qualitatively similar results with different playout buffers

show abstract

QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems

Cited by 88 publications

References 26 publications

Traffic models impact on OFDMA scheduling design

Traffic models impact on OFDMA scheduling design

An objective multi-layer QoE Evaluation for TCP video streaming

OptiMOS: Optimal MOS-based scheduling of downlink voice flows in point-to-multipoint access networks

Contact Info

Product

Resources

About