JOURNAL ARTICLE

Real-Time Uncompressed Video Transmission Over Wireless Channels Using Unequal Power Allocation

Zhilong ZhangDanpu LiuXin Wang

Year: 2016 Journal:   IEEE Systems Journal Vol: 12 (1)Pages: 691-701   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Uncompressed video transmission has recently attracted research attentions since it ensures ultra-low latency, high video quality, and low complexity. In this paper, we propose a real-time uncompressed video transmission system, where unequal power allocation (UPA) strategies are adopted to maximize the peak signal-to-noise ratio (PSNR) while considering the peak-to-average power ratio (PAPR) reduction. Specifically, the relationship between the bit error rate (BER) and the mean square error (MSE) of this system is established. Based on the relationship, a group of optimization problems are formulated and UPA schemes are proposed through solving these problems. Among all strategies, UPA with an adaptive Hadamard switch is finally adopted in the proposed system, because it outperforms other schemes in PSNR performance under both the total power constraint and the PAPR constraint. Simulation results show that the PSNR of the reconstructed video is improved largely compared with reference methods.

Keywords:
Uncompressed video Computer science Real-time computing Bit error rate Transmission (telecommunications) Video quality Signal-to-noise ratio (imaging) Latency (audio) Peak signal-to-noise ratio Wireless Electronic engineering Mean squared error Constraint (computer-aided design) Algorithm Computer hardware Telecommunications Video processing Artificial intelligence Engineering Decoding methods Video tracking Image (mathematics) Mathematics Statistics

Metrics

4
Cited By
0.48
FWCI (Field Weighted Citation Impact)
26
Refs
0.71
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

PAPR reduction in OFDM
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
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