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Large-scale MIMO is capable of eliminating power-thirsty channel coding for wireless transmission of HEVC/H.265 video

机译:大规模mImO能够消除用于HEVC / H.265视频的无线传输的功率口渴信道编码

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摘要

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-1/3 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 ratio (PSNR) is improved by about 22.5 dB at a channel-SNR of $E_b/N_0 \approx 6$ dB for delay-tolerant video-file delivery applications, and about 20 dB for lip-synchronized real-time interactive video applications. Alternatively, viewing the attainable improvement from a power-saving perspective, a channel-SNR gain as high as $\Delta_{E_b/N_0} \approx 5$ dB is observed at a PSNR of 36 dB for the scenario of delay-tolerant video applications and again, an even higher channel SNR gain is achieved in the real-time video application scenario. Therefore, we envisage that LS-MIMO aided wireless multimedia communications is capable of dispensing with power-thirsty channel codec altogether!
机译:提出了一种基于新兴的大规模多输入多输出(LS-MIMO)技术的无线视频传输架构。在使用最先进的高效视频编码(HEVC)(也称为H.265)后,我们证明了所提出的调用低复杂度线性迫零(ZF)检测器并放弃任何信道编码的体系结构能够显着提高性能。即使后者使用高复杂度最佳最大似然(ML)检测器和速率1/3递归系统卷积(RSC)信道编解码器,其性能也优于传统的基于MIMO的小型体系结构。具体而言,与常规的小规模MIMO系统相比,所提出的基于LS-MIMO的方案的有效系统吞吐量提高了三倍,并且重构后的视频质量根据峰值信噪比进行了量化。对于延迟容忍的视频文件传递应用,在$ E_b / N_0 \大约6 dB的信道SNR时,信噪比(PSNR)提高了约22.5 dB,而对于唇同步实时交互式视频应用,信噪比(PSNR)则提高了约20 dB。或者,从节电的角度看可获得的改进,对于延迟容忍的视频,在36 dB的PSNR时,观察到高达$ \ Delta_ {E_b / N_0} \约5 $ dB的信道SNR增益。在实时视频应用场景中,甚至在更高的应用范围内,都可以获得更高的通道SNR增益。因此,我们设想LS-MIMO辅助的无线多媒体通信能够完全省去功耗渴求的信道编解码器!

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