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An Approach to Preamble Collision Reduction in Grant-Free Random Access With Massive MIMO

机译：一种与大规模MIMO的授予随机接入突发碰撞的方法

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摘要

In this paper, we study grant-free random access with massive multiple input multiple output (MIMO) systems. We first show that the performance of massive MIMO based grant-free random access is mainly decided by the probability of preamble collision. The implication of this is that although the number of antennas can be arbitrarily large, the (average) number of successful packet transmissions can be limited by the number of preambles. Then, we propose an approach to preamble collision reduction without increasing the number of preambles using the notion of superpositioned preambles (S-preambles). Since the channel estimation for conjugate beamforming can be carried out when unused S-preambles are known, a simple approach is derived to detect unused S-preambles and its performance is analyzed for a special case (superpositions with 2 preambles). Based on analysis and simulation results, it is confirmed that the proposed approach with S-preambles can increase the success probability with the same spectral efficiency as the conventional approach.
机译：在本文中，我们研究了无需多个输入多输出（MIMO）系统的无需随机访问。首先表明，大规模的MIMO基于MIMO的赠款随机接入的性能主要由序列碰撞的概率决定。这意味着，尽管天线的数量可以是任意大的，但是（平均）成功分组传输的数量可以受到前导码的数量的限制。然后，我们提出了一种前导碰撞碰撞的方法，而不增加使用叠加的前导码（S-前导码）的概念的前导码的数量。由于可以在未使用的S-PREABLES已知时执行用于共轭波束成形的信道估计，因此导出了一种简单的方法以检测未使用的S-PREABLES，并且对特殊情况（具有2个前导码的叠加）分析其性能。基于分析和仿真结果，确认具有S-前导码的所提出的方法可以以与传统方法相同的光谱效率提高成功概率。

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