A QoE based performance study of mobile peer-to-peer live video streaming

Peer-to-peer (P2P) Mobile Ad Hoc Networks (MANETs) are widely envisioned to be a practical platform to mobile live video streaming applications (e.g., mobile IPTV). However, the performance of such a streaming solution is still largely unknown. As such, in this paper, we aim to quantify the streaming performance using a Quality of Experience (QoE) based approach. Our simulation results indicate that video streaming performance is highly sensitive to the video chunk size. Specifically, if the chunk size is small, performance, in terms of both QoE and QoS, is guaranteed but at the expense of a higher overhead. On the other hand, if chunk size is increased, performance can degrade quite rapidly. Thus, it needs some careful fine tuning of chunk size to obtain satisfactory QoE performance. © 2012 IEEE.published_or_final_versio

Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support.

A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high demands for multimedia contents. Fog computing has been conceptualized to facilitate the deployment of new services that cloud computing cannot provide, particularly those demanding QoE guarantees. These services are provided using fog nodes located at the network edge, which is capable of virtualizing their functions/applications. Service migration from the cloud to fog nodes can be actuated by request patterns and the timing issues. To the best of our knowledge, existing works on fog computing focus on architecture and fog node deployment issues. In this article, we describe the operational impacts and benefits associated with service migration from the cloud to multi-tier fog computing for video distribution with QoE support. Besides that, we perform the evaluation of such service migration of video services. Finally, we present potential research challenges and trends

Improving Mobile Video Streaming with Mobility Prediction and Prefetching in Integrated Cellular-WiFi Networks

We present and evaluate a procedure that utilizes mobility and throughput prediction to prefetch video streaming data in integrated cellular and WiFi networks. The effective integration of such heterogeneous wireless technologies will be significant for supporting high performance and energy efficient video streaming in ubiquitous networking environments. Our evaluation is based on trace-driven simulation considering empirical measurements and shows how various system parameters influence the performance, in terms of the number of paused video frames and the energy consumption; these parameters include the number of video streams, the mobile, WiFi, and ADSL backhaul throughput, and the number of WiFi hotspots. Also, we assess the procedure's robustness to time and throughput variability. Finally, we present our initial prototype that implements the proposed approach.Comment: 7 pages, 15 figure

Survey on QoE/QoS Correlation Models for Video Streaming over Vehicular Ad-hoc Networks

Vehicular Ad-hoc Networks (VANETs) are a new emerging technology which has attracted enormous interest over the last few years. It enables vehicles to communicate with each other and with roadside infrastructures for many applications. One of the promising applications is multimedia services for traffic safety or infotainment. The video service requires a good quality to satisfy the end-user known as the Quality of Experience (QoE). Several models have been suggested in the literature to measure or predict this metric. In this paper, we present an overview of interesting researches, which propose QoE models for video streaming over VANETs. The limits and deficiencies of these models are identified, which shed light on the challenges and real problems to overcome in the future

Studi Eksperimen Pengiriman Sinyal Video Real-Time dengan Aplikasi Skype Mobile pada Jaringan Nirkabel 802.11 di Tengah Interferensi Kepadatan Lalu Lintas Manusia

Penggunaan mobile phone sebagai alat komunikasi sangat demikian pesat peningkatan pengguna serta beragam jenis fungsi yang terdapat didalamnya. Diantara dari sekian banyak aplikasi yang terdapat pada mobile phone adalah Skype berbasis mobile phone OS yang digunakan untuk telekonferensi. Hal yang tidak bisa dilepaskan dari aplikasi ini adalah dibutuhkannya akses jaringan internet yang mumpuni agar aplikasi ini dapat dirasakan maksimal fungsinya. Wi-fi merupakan salahsatu akses internet yang lazim digunakan masyarakat saat ini. Banyak faktor yang menyebabkan akses pada internet yang tersedia tidak selalu memberikan performa yang terbaik, satu diantaranya adalah interferensi. Pada penelitian ini dilakukan sebuah uji coba berupa transmisi sinyal video secara real-time dengan menggunakan aplikasi pada mobile phone yaitu Skype mobile phone OS. Skype ini dijalankan pada jaringan internet wi-fi, yang dipengaruhi atau diinterferensi oleh kehadiran objek (berupa lalu lintas manusia) di sekitar jaringan tersebut. Wireshark digunakan untuk mendapatkan data keandalan jaringan wi-fi yang digunakan atau dikenal dengan QoS. Pada sisi lain EvalVid digunakan untuk mendapatkan data QoE yang dibatasi hanya mendapatkan data PSNR (Peak Signal to Noise Ratio). Video delay time diperhitungkan sebagai acuan kepuasan end user dalam menggunakan layanan konferensi video. Hasil penelitian menunjukan bahwa kepadatan karyawan di dalam ruangan dapat memberikan pengaruh terhadap nilai QoS dan QoE jika kepadatan karyawan itu disertai dengan lalu-lintas karyawan di dalam ruangan tersebut. Namun jika kepadatan karyawan tidak disertai dengan lalu-lintas di dalamnya maka kepadatan karyawan itu sendiri tidak memberikan pengaruh pada parameter yang diukur

Random Linear Network Coding for 5G Mobile Video Delivery

An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a number of new opportunities for optimizing video delivery across both 5G core and radio access networks. One of the promising approaches for video quality adaptation, throughput enhancement and erasure protection is the use of packet-level random linear network coding (RLNC). In this review paper, we discuss the integration of RLNC into the 5G NR standard, building upon the ideas and opportunities identified in 4G LTE. We explicitly identify and discuss in detail novel 5G NR features that provide support for RLNC-based video delivery in 5G, thus pointing out to the promising avenues for future research.Comment: Invited paper for Special Issue "Network and Rateless Coding for Video Streaming" - MDPI Informatio