Loss Visibility Optimized Real-time Video Transmission over MIMO Systems
Amin Abdel Khalek, Constantine Caramanis, Robert W. Heath Jr

TL;DR
This paper presents a novel real-time video transmission architecture over MIMO systems that uses loss visibility to optimize packet mapping and rate adaptation, significantly improving video quality and throughput.
Contribution
It introduces a loss visibility-based optimization framework for MIMO video transmission, enabling joint quality and latency improvements with limited feedback.
Findings
Achieves 8 dB power reduction at the same video quality
Supports 2.4x higher throughput with unequal modulation
Significant quality and throughput gains with minimal overhead
Abstract
The structured nature of video data motivates introducing video-aware decisions that make use of this structure for improved video transmission over wireless networks. In this paper, we introduce an architecture for real-time video transmission over multiple-input multiple-output (MIMO) wireless communication systems using loss visibility side information. We quantify the perceptual importance of a packet through the packet loss visibility and use the loss visibility distribution to provide a notion of relative packet importance. To jointly achieve video quality and low latency, we define the optimization objective function as the throughput weighted by the loss visibility of each packet, a proxy for the total perceptual value of successful packets per unit time. We solve the problem of mapping video packets to MIMO subchannels and adapting per-stream rates to maximize the proposed…
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