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The widely used Zadoff-Chu sequence (ZC sequence) for random access preamblein 5G has limitations in terms of the total number of preambles generated,forcing the reuse of preambles. Hence, the probability of collision ofpreambles of UEs increase, resulting in the failure of random access procedure.To truly qualify beyond 5G networks as green technology, the preamble capacityshould be increased without sacrificing energy efficiency. In this paper, wepropose a new candidate preamble sequence called $mALL$ sequence using theconcept of cover sequences to achieve higher preamble capacity withoutdegrading the power efficiency and hence minimizing device's carbon footprint.We compare the performance of $mALL$ sequence with Zadoff-Chu sequence andother sequences in the literature, such as $mZC$ and $aZC$ sequences. Weevaluate the performance of the preamble sequences in terms of periodiccorrelation, 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 energyefficiency. We show that the preamble capacity of the proposed $mALL$ sequenceis $10^{4}$ times higher than that of legacy ZC sequence without anydeterioration in the detection performance.

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