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arXiv 2501.09533eess.SP
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NL-COMM:通过先进非线性处理增强视频流传输

NL-COMM: Enhanced Video Streaming via Advanced Non-Linear Processing

Marcin Filo, George N. Katsaros, Chathura Jayawardena, Konstantinos Nikitopoulos

AI总结:

针对无线网络频谱资源紧张、传统线性MIMO处理信道利用率低的问题,提出NL-COMM非线性MIMO处理框架,首次在3GPP合规环境用商用设备验证,可提升视频流质量、减半基站天线需求并实现400%天线过载系数。

摘要:

当前视频流已占据互联网流量的大部分,无线网络面临的需求持续增长,在人口密集区域尤为突出——有限的频谱资源需在众多设备间共享。多用户(MU)-MIMO技术旨在通过在相同时频资源上实现并发传输来提升频谱效率,但传统线性处理方法无法充分利用可用信道容量。这类方法需要大量天线和射频链路,却仅能支持数量少得多的MIMO流,即便支持的流速率较低,也会导致功耗和运营成本上升。在本次演示中,我们推出NL-COMM——一种先进的非线性MIMO处理框架,首次在完全符合3GPP标准的环境中,使用商用现货(COTS)用户设备(UE)完成验证。此外,观众还将首次对比评估来自4台并发传输UE设备的实时空传视频质量,测试在当前最先进的MIMO检测算法与NL-COMM之间交替进行。NL-COMM的核心优势包括:提升流质量;与线性方法相比,在不降低流质量的前提下将所需基站天线数量减半;实现400%的天线过载系数。

英文摘要:

With video streaming now accounting for the majority of internet traffic, wireless networks face increasing demands, especially in densely populated areas where limited spectral resources are shared among many devices. While multi-user (MU)-MIMO technology aims to improve spectral efficiency by enabling concurrent transmissions over the same frequency and time resources, traditional linear processing methods fall short of fully utilizing available channel capacity. These methods require a substantial number of antennas and RF chains, to support a much smaller number of MIMO streams, leading to increased power consumption and operational costs, even when the supported streams are of low rate. In this demo, we present NL-COMM, an advanced non-linear MIMO processing framework, demonstrated for the first time with commercial off-the-shelf (COTS) user equipment (UEs) in a fully 3GPP-compliant environment. In addition, also for the first time, the audience will compare and assess the quality of live, over-the-air video transmission from four concurrently transmitting UE devices, alternating between current state-of-the-art MIMO detection algorithms and NL-COMM. Key gains of NL-COMM include improved stream quality, halving the number of required base station antennas without compromising stream quality compared to linear approaches, as well as achieving antenna overloading factors of 400\%.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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