QoE-Aware Scalable Video Transmission in MIMO Systems

Abstract

Abstract-An important concept in wireless systems has been quality of experience (QoE)-aware video transmission. Such communications are considered not only connection-based communications but also content-aware communications, since the video quality is closely related to the content itself. It becomes necessary therefore for video communications to utilize a cross-layer design (also known as joint source and channel coding). To provide efficient methods of allocating network resources, the wireless network uses its cross-layer knowledge to perform unequal error protection (UEP) solutions. In this article, we summarize the latest video transmission technologies that are based on scalable video coding (SVC) over multiple-input multiple-output (MIMO) systems with cross-layer designs. To provide insight into video transmission in wireless networks, we investigate UEP solutions in the delivering of video over massive MIMO systems. Our results show that in terms of quality of experience (QoE), SVC layer prioritization, which was considered important in the prior work, is not always beneficial in massive MIMO systems; consideration must be given to the content characteristics.

Guided MAC to Enhance Quality of Experience of Video Data Transmission over Massive MIMO

“…To make this estimation more effective authors also consider iterative least-square with projection (ILSP) algorithm. In a single-cell scenario where propagation is dominated by independent Rayleigh fading, (Yang, Hong, and Thomas, 2013) compared linear pre-coders, conjugate beam formation, and zero-forcing, (Kim et al, 2017) summarized various SDC based video data transmission over MIMO systems with cross layer architecture and investigated the UEP solutions for video transmission over Massive MIMO. Using the classic convex optimization approach, (Xiang Chen et al) proposed an energy efficient mechanism to increase the Quality of Experience of SDC dependent video transmission over MIMO.…”

Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting

“…SVC constitutes an extended version of H.264/AVC, designed for real-time video transmission and playback under diverse conditions. Resource scheduling strategies and transmission algorithms have been widely investigated in the literature [17], [18], [34]- [42], and a comprehensive overview of SVC-based video characteristics can be found in [14], [43], [44]. In [14], a trace-based evaluation method was introduced for SVC video streaming systems.…”

“…In [14], a trace-based evaluation method was introduced for SVC video streaming systems. The QoE-aware SVC video transmission problem and a sophisticated power allocation scheme was designed for Multi-Input Multi-Output (MIMO) systems in [34] and [35]. The authors of [36] jointly configured both the power and the transmission rate with the objective of maximizing the decoding quality of SVC video streaming in MIMO systems.…”

QoE-driven big data management in pervasive edge computing environment

“…Similarly, Zhao et al [20] introduced selected issues including QoE modeling of the video transmission point-to-point chain, subjective QoE management and objective QoE monitoring, and the QoE assessment of video transmission in different network features. Kim et al [21] summarized the latest video transmission technologies with regard to scalable video coding in multiple-input-multiple-output systems with cross-layer designs and proposed unequal error protection solutions with respect to QoE in the delivery of video over massive multiple-input-multiple-output systems with respect to content characteristics. Liang et al [22] then proposed a novel mechanism for bandwidth provisioning and proactive caching as well as joint adaptive video streaming.…”