TY - GEN
T1 - A QoE aware fairness bi-level resource allocation algorithm for multiple video streaming in WLAN
AU - Zhou, Hu
AU - Li, Bo
AU - Yan, Zhongjiang
AU - Zuo, Xiaoya
AU - Yang, Mao
N1 - Publisher Copyright:
© 2015 ICST.
PY - 2015/11/19
Y1 - 2015/11/19
N2 - With the increasing of smart devices such as mobile phones and tablets, the scenario of multiple video users watching video streaming simultaneously in one wireless local area network (WLAN) becomes more and more popular. However, the quality of experience (QoE) and the fairness among multiple users are seriously impacted by the limited bandwidth and shared resources of WLAN. In this paper, we propose a novel bi-level resource allocation algorithm. To maximize the total throughput of the network, the WLAN is firstly tuned to the optimal operation point. Then the wireless resource is carefully allocated at the first level, i.e., between AP and uplink background traffic users, and the second level, i.e., among downlink video users. The simulation results show that the proposed algorithm can guarantee the QoE and the fairness for all the video users, and there is little impact on the average throughput of the background traffic users.
AB - With the increasing of smart devices such as mobile phones and tablets, the scenario of multiple video users watching video streaming simultaneously in one wireless local area network (WLAN) becomes more and more popular. However, the quality of experience (QoE) and the fairness among multiple users are seriously impacted by the limited bandwidth and shared resources of WLAN. In this paper, we propose a novel bi-level resource allocation algorithm. To maximize the total throughput of the network, the WLAN is firstly tuned to the optimal operation point. Then the wireless resource is carefully allocated at the first level, i.e., between AP and uplink background traffic users, and the second level, i.e., among downlink video users. The simulation results show that the proposed algorithm can guarantee the QoE and the fairness for all the video users, and there is little impact on the average throughput of the background traffic users.
KW - fairness
KW - HTTP video streaming
KW - quality of the experience (QoE)
KW - resource allocation
KW - wireless local area network (WLAN)
UR - http://www.scopus.com/inward/record.url?scp=84962473637&partnerID=8YFLogxK
U2 - 10.4108/eai.19-8-2015.2259765
DO - 10.4108/eai.19-8-2015.2259765
M3 - 会议稿件
AN - SCOPUS:84962473637
T3 - Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
SP - 227
EP - 232
BT - Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
Y2 - 19 August 2015 through 20 August 2015
ER -