论文标题

超出5G网络中随机访问的高容量序列序列:设计和分析

A High Capacity Preamble Sequence for Random Access in Beyond 5G Networks: Design and Analysis

论文作者

Pawar, Sagar, Bommisetty, Lokesh, Venkatesh, T. G.

论文摘要

5G中随机访问序列的广泛使用的Zadoff-Chu序列(ZC序列)在产生的前序的总数方面具有局限性,迫使Preambles的重复使用。因此,UES前序碰撞的可能性增加,从而导致随机访问程序的失败。为了真正使超越5G网络作为绿色技术,应在不牺牲能源效率的情况下提高序言能力。在本文中,我们提出了一个新的候选序列序列,使用覆盖序列的概念,称为$ MALL $序列,以实现更高的序言容量,而不会降低功率效率,从而最大程度地减少了设备的碳足迹。我们将$ MALL $序列的性能与Zadoff-Chu序列以及文献中的其他序列(例如$ MZC $和$ AZC $序列)进行了比较。我们根据周期性相关性,检测概率和多样性组合的效果来评估序言序列的性能。此外,本文探讨了这些序列的峰值与平均功率比(PAPR)和立方度量(CM),因为这些是评估能效的重要参数。我们表明,提议的$ MALL $序列的序言容量是$ 10^{4} $倍的$倍,而遗留ZC序列的序列容量却高于检测性能,而没有任何恶化。

The widely used Zadoff-Chu sequence (ZC sequence) for random access preamble in 5G has limitations in terms of the total number of preambles generated, forcing the reuse of preambles. Hence, the probability of collision of preambles of UEs increase, resulting in the failure of random access procedure. To truly qualify beyond 5G networks as green technology, the preamble capacity should be increased without sacrificing energy efficiency. In this paper, we propose a new candidate preamble sequence called $mALL$ sequence using the concept of cover sequences to achieve higher preamble capacity without degrading the power efficiency and hence minimizing device's carbon footprint. We compare the performance of $mALL$ sequence with Zadoff-Chu sequence and other sequences in the literature, such as $mZC$ and $aZC$ sequences. We evaluate the performance of the preamble sequences in terms of periodic correlation, detection probability and the effect of diversity combining. Also, this paper explores the Peak to Average Power Ratio (PAPR) and Cubic Metric(CM) for these sequences, as these are essential parameters to evaluate energy efficiency. We show that the preamble capacity of the proposed $mALL$ sequence is $10^{4}$ times higher than that of legacy ZC sequence without any deterioration in the detection performance.

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