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Performance analysis of compressed sensing based multi-user detection technique in small packet transmission scenario

机译:小包传输场景下基于压缩感知的多用户检测技术性能分析

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Massive machine type communication (mMTC) will become the key factor of the future industrial automation area. Also, with the rapid development of Internet of Things (IoT) technologies, more and more researchers in industries and universities have engaged in exploring the problems in mMTC. Currently, one attractive problem is how to cope the requirement of massive connections. One powerful candidate technique to tackle this problem is the Compressive Sensing based Multi-User Detection (CS-MUD) which exploit the sparsity characteristic of the small packet transmission. In this paper, we will perform the performance evaluations with different cases. The simulation results inspire us that in order to fully utilize CS-MUD, the industrial applications should judiciously set the mMTC parameters according to the property of their own business demand.
机译:大规模的机器类型通信(mMTC)将成为未来工业自动化领域的关键因素。此外,随着物联网(IoT)技术的飞速发展,越来越多的行业和大学研究人员致力于探索mMTC中的问题。当前,一个有吸引力的问题是如何应对大规模连接的需求。解决这一问题的一种强大的候选技术是基于压缩感知的多用户检测(CS-MUD),它利用了小数据包传输的稀疏特性。在本文中,我们将对不同情况进行性能评估。仿真结果启发我们,为了充分利用CS-MUD,工业应用应根据自身业务需求的属性明智地设置mMTC参数。

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