This lecture is about different techniques used for video streaming to improve performance and Quality of Experience (QoE). Specifically, we learned about ”neural adaptive video streaming with Pensieve” [1]. Pensieve adaptively selects bitrates (ABR) for future video chunks based on observations collected by client video players. It automatically learns ABR algorithms that adapt to a wide range...

With the rapid evolution of smart devices, ease of availability and accessibility of Internet application services, the demand of user's level of satisfaction are constantly growing. This creates challenges when mobile users in large quantity gather at confine places creating a scenario of highdensity wireless network environment (HDWN). Guaranteeing high quality of services (QoS) without prope...

While Quality of Experience (QoE) has advanced very significantly as a field in recent years, the methods used for analyzing it have not always kept pace. When QoE is studied, measured or estimated, practically all the literature deals with Mean Opinion Scores (MOS). The MOS provides a simple scalar value for QoE, but it has several limitations, some of which are made clear in its name: for man...

Next Generation Mobile Networks (NGMNs) together with smart phones evolution have opened new opportunities to deliver mobile services, including voice, data and multimedia applications to the users. However this conflation has brought several challenges in terms of Quality of Experience – QoE of users. Mainly due to degradations with timevarying characteristics in the presense of link heterogen...

Quality of Experience (QoE) provisioning in heterogeneous access networks (HANs) can be achieved via handoffs. The current approaches for QoE-aware handoffs either lack the availability of a network path probing method or lack the availability of efficient methods for QoE prediction. Further, the current approaches do not explore the benefits of proactive QoE-aware handoffs such that user’s QoE...

With the spread of broadband Internet and high-performance devices, various services have become available anytime, anywhere. As a result, attention is focused on service quality Quality Experience (QoE) emphasized as an evaluation index from user's viewpoint. Since QoE subjective metric deeply involved with user perception expectation, quantitative comparative research was difficult because st...

Conventional optimization designs of wireless networks mainly focus on spectral efficiency (SE) as a performance metric. However, as diverse media services are emerging, a green wireless network, which not only meets the quality of experience (QoE) requirements for users and also improves energy efficiency (EE), is the most appropriate solution. In this paper, we firstly propose the unit QoE pe...