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

TL;DR

This paper introduces the $mALL$ sequence, a new high-capacity preamble for beyond 5G networks that significantly increases preamble capacity without energy efficiency loss, reducing collision probability in random access.

Contribution

The paper proposes the $mALL$ sequence, a novel preamble design that vastly increases capacity while maintaining energy efficiency, outperforming existing sequences like Zadoff-Chu.

Findings

$mALL$ sequence has 10,000 times higher capacity than ZC.

No degradation in detection performance with $mALL$ sequence.

$mALL$ sequence maintains energy efficiency parameters like PAPR and CM.

Abstract

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.