English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Multi-access edge computing (MEC) enables placing video content at the edgeof the network aiming to improve the quality of experience (QoE) of the mobileclients. Video content caching at edge servers also reduces traffic in thebackhaul of the mobile network, hence reducing operational costs for mobilenetwork operators (MNOs). However, minimizing the rate of cache misses andmaximizing the average video quality may sometimes be at odds with each other,particularly when the cache size is constrained. Our objective in this articleis two fold: First, we explore the impact of fixed video content caching on theoptimal QoE of mobile clients in a setup where servers at mobile network edgehandle bitrate selection. Second, we want to investigate the effect of cachereplacement on QoE-traffic trade-off. An integer nonlinear programming (INLP)optimization model is formulated for the problem of jointly maximizing the QoE,the fairness as well as minimizing overall data traffic on the origin videoserver. Due to its NP-Hardness, we then present a low complexity greedy-basedalgorithm with minimum need for parameter tuning which can be easily deployed.We show through simulations that the joint optimization indeed enables strikinga desired trade-off between traffic reduction and QoE. The results also revealthat with fixed cached contents, the impact of caching on the QoE isproportional to the desired operational point of MNO. Furthermore, the effectof cache replacement on QoE is less noticeable compared to its effect onbackhaul traffic when cache size is constrained.

Cache-Aware QoE-Traffic Optimization in Mobile Edge Assisted Adaptive Video Streaming