大规模机器型通信(mMTC)高效无线接入的硬件演示

Hayato Tezuka, Masafumi Moriyama, K. Takizawa, M. Oodo, C. Pyo, H. Murakami, K. Ishizu, F. Kojima
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引用次数: 0

摘要

预计随着物联网设备的普及,上行流量将快速增长。5G(第5代移动通信系统)要求基站有效接收物联网设备传输的小数据包但大量上行信号。为了解决这个问题,我们研究和开发了增加一个基站可以积累的设备数量和减少延迟时间的技术。通过计算机仿真对信道估计技术和干扰抑制与消除技术进行了评价。然而,我们还没有在实际机器上对这些技术进行评估。本文将软件定义无线电(SDR)应用于有线环境,并对所提出的信道估计技术的精度和连续干扰抵消技术的信号分离性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware demonstration on an efficient radio access for massive machine-type communication (mMTC)
A rapid increase of uplink traffic is predicted with the spread of IoT (Internet of Things) devices. The 5G (5th generation mobile communications systems) requires that base stations effectively receive small-size packets but massive uplink signals transmitted by the IoT devices. To solve this problem, we have researched and developed techniques to increase number of devices that one base station can accumulate and to decrease delay time. We have evaluated channel estimation techniques and interference suppression and cancellation techniques by computer simulation. However, we have not evaluated the techniques on real machine yet. In this paper, we use software defined radio(SDR) on wired environment and evaluate accuracy of the proposed channel estimation techniques and signal separation performance of successive interference cancellation techniques.
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