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mmWave Indoor Channel Measurement Campaign for 5G New Radio Indoor Broadcasting

相干带宽 计算机科学 传输(电信) 带宽(计算) 无线 频道(广播) 衰退 路径损耗 广播(网络) 电子工程 电信 多径传播 延迟扩散 计算机网络 工程类
作者
Hequn Zhang,Yue Zhang,John Cosmas,Nawar Jawad,Wei Li,Robert Müller,Tao Jiang
出处
期刊:IEEE Transactions on Broadcasting [Institute of Electrical and Electronics Engineers]
卷期号:68 (2): 331-344 被引量:24
标识
DOI:10.1109/tbc.2021.3131864
摘要

Due to the great demand of throughput and reliability for multimedia applications in Fifth Generation (5G) networks, many broadcasting systems adopt the Millimeter Wave (mmWave) technology to address the lack of the spectrum resources. As one of 5G-PPP projects, Internet of Radio Light (IoRL) project adopts 40GHz mmWave band to support a high-speed and stable Ultra-High-Definition (UHD) television broadcasting service in the indoor environment. Because of the high frequency property, mmWave bands usually suffers from the high path loss and the penetration loss. Thus, in order to overcome these issues, directional antennas are employed to provide additional power gain while increasing transmission distance. However, the mmWave with directional antennas brings additional problems, such as limited transmission angle and more multipath effects. Therefore, in this paper, for better understanding of impact factors on the signal quality and transmission coverage of the directional 40GHz mmWave band in the indoor environment, a measurement campaign is introduced in detail and the channel characteristics are measured and analysed in varying cases. The mainly concerned characteristics are path loss, shadow fading, average Power Delay Profile (PDP), Root-Mean-Square (RMS) delay spread, arrival rate and coherence bandwidth. All Measured characteristic values are summarised in three tables at the end of this paper. Besides of these, as a reference of channel analysis and a metric of signal quality and effective coverage, Error Vector Magnitude (EVM) of received signal in each case is measured and discussed. Moreover, a simulation is performed based on a statistical channel model to validate the measured results.

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