Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems
Xiaoming Dai, Tiantian Yan, Qianqian Li, Hua Li, Xiyuan Wang

TL;DR
This paper proposes a novel pattern division random access scheme for massive MIMO systems in mMTC, significantly increasing contention space and reducing pilot collision probability through superimposed cyclically-shifted Zadoff-Chu sequences.
Contribution
It introduces the pattern-domain pilot design based on superimposed orthogonal-building-blocks, enhancing random access performance in massive MIMO systems.
Findings
Achieves lower pilot collision probability.
Demonstrates improved access success rate.
Maintains existing physical layer compatibility.
Abstract
In this work, we introduce the pattern-domain pilot design paradigm based on a "superposition of orthogonal-building-blocks" with significantly larger contention space to enhance the massive machine-type communications (mMTC) random access (RA) performance in massive multiple-input multiple-output (MIMO) systems.Specifically, the pattern-domain pilot is constructed based on the superposition of cyclically-shifted Zadoff-Chu (ZC) sequences. The pattern-domain pilots exhibit zero correlation values between non-colliding patterns from the same root and low correlation values between patterns from different roots. The increased contention space, i.e., from N to , where denotes the number of all L-combinations of a set N, and low correlation valueslead to a significantly lower pilot collision probability without compromising excessively on channel estimation…
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Taxonomy
TopicsIoT Networks and Protocols · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Technologies
