Abstract

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.

Highlights

  • As one of the most popular services over the Internet, the video streaming shows a rising trend year by year

  • The resource allocation between the Access Point (AP) and background traffic users is achieved by properly adjusting the minimum contention windows of them, which guarantees the download rates of all the video users and avoids the occurrences of stalling events

  • Since we mainly focus on the characteristics of video streaming over wireless local area network (WLAN), the transmission over wired network is assumed to be ideal, and the queues of AP are assumed to be backlogged with video data before the video streaming sessions are finished

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Summary

INTRODUCTION

As one of the most popular services over the Internet, the video streaming shows a rising trend year by year. Since all the video users compete for the limited downlink throughput of the Access Point (AP), when the number of video users is large, even the reliable transmission of video chunks with minimum bit rate may not be guaranteed, which results in the stalling events and bad QoE performance. We aim to guarantee the QoE and fairness of multiple HTTP video streaming in WLAN from the viewpoint of wireless network. The resource allocation between the AP and background traffic users is achieved by properly adjusting the minimum contention windows of them, which guarantees the download rates of all the video users and avoids the occurrences of stalling events.

Network scenario
Background traffic users
HTTP video streaming and QoE metric
Our target
Resource allocation problems
TWO LEVEL RESOURCE ALLOCATION ALGORITHM
First level resource allocation algorithm
Second level resource allocation algorithm
Pseudo code
Simulation configuration
Simulation results
Findings
CONCLUSION

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