Abstract
In the past two decades, 802.11 based Wireless Local Area Networks (WLANs) have gained popularity in offering Internet services and increasingly supporting data driven video streaming applications. Such services demand enhanced view quality to all the end-users in the network. However, due to the sharing of limited resources and lack of proper scheduling mechanisms, WLANs are unable to meet the requirements of numerous video users and provide them better quality. Therefore, an effective resource scheduling approach is needed that can achieve high user satisfaction for the ever changing user needs for quality video viewing. In this paper, a Quality of Experience based Cross-Layer Scheduling (QoECLS) scheme to enhance the user experience for video applications in WLANs is proposed. Here, the Mean Opinion Score has been used as a measure to evaluate the user experience. In order to provide the average user throughput with guarantee of fairness among users, the QoECLS scheme uses cross-layer information from the application and physical layer, respectively. The QoECLS algorithm allocates transmission resources by considering application feedback along with channel state information and buffer status. The performance of the QoECLS approach was extensively studied through simulations and the results showed an improvement in user experience and throughput, while maintaining fairness among the users. In terms of throughput, the proposed scheme achieves 25%, 45 %, and 50% improvement compared to QoE Aware Scheduling scheme, Modified-Largest Weighted Delay First scheduler and Exponential-Proportional Fair scheduler, respectively.
Highlights
The rapidly evolving technologies like Cellular mobile networks and Wireless Local Area Networks (WLANs) are becoming highly popular and widely used to cater to the ever changing demands of users
A cross-layer scheduling scheme Quality of Experience based Cross-Layer Scheduling (QoECLS) for WLANs is proposed, that works as follows: Assume that the Access Point (AP) runs in Point Coordination Function (PCF) mode to enable contention-free access for real-time traffic
The results indicate that the Quality of Experience (QoE) scheme performs well compared to other scheduling techniques, and this improvement is obtained by considering bitrate feedback in the allocation of resources
Summary
The rapidly evolving technologies like Cellular mobile networks and Wireless Local Area Networks (WLANs) are becoming highly popular and widely used to cater to the ever changing demands of users. Wi-Fi hotspot services are widely used in public and crowded places like airports, shopping malls, stadiums, office zones, etc. The usage of this Wi-Fi hotspot services is becoming highly video content-oriented and it has become a herculean task for the service providers to provide the required service quality to all the users [3]. QoS is the ability of the network to deliver satisfactory service to users It is typically led by some factors like throughput, delay, packet loss, and jitter. With the changing demands and requirements of the users, QoS management is lagging in achieving
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