Large-Scale MIMO is Capable of Eliminating Power-Thirsty Channel Coding for Wireless Transmission of HEVC/H.265 Video
Shaoshi Yang, Cheng Zhou, Tiejun Lv, Lajos Hanzo

TL;DR
This paper demonstrates that large-scale MIMO systems can eliminate the need for power-intensive channel coding in wireless HEVC/H.265 video transmission, significantly improving throughput and video quality.
Contribution
The study introduces a large-scale MIMO architecture with low-complexity detection that outperforms traditional small-scale MIMO with complex coding, eliminating the need for channel coding.
Findings
Up to threefold increase in system throughput.
Approximately 22.5 dB PSNR improvement at 6 dB SNR.
Power savings equivalent to 5 dB SNR gain.
Abstract
A wireless video transmission architecture relying on the emerging large-scale multiple-input--multiple-output (LS-MIMO) technique is proposed. Upon using the most advanced High Efficiency Video Coding (HEVC) (also known as H.265), we demonstrate that the proposed architecture invoking the low-complexity linear zero-forcing (ZF) detector and dispensing with any channel coding is capable of significantly outperforming the conventional small-scale MIMO based architecture, even if the latter employs the high-complexity optimal maximum-likelihood (ML) detector and a rate- recursive systematic convolutional (RSC) channel codec. Specifically, compared to the conventional small-scale MIMO system, the effective system throughput of the proposed LS-MIMO based scheme is increased by a factor of up to three and the quality of reconstructed video quantified in terms of the peak signal-to-noise…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
