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arXiv · 2112.02629

A Tensor-BTD-based Modulation for Massive Unsourced Random Access

Zhenting Luan·Yuchi Wu·Shansuo Liang·Liping Zhang·Wei Han·Bo Bai
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Abstract

In this letter, we propose a novel tensor-based modulation scheme for massive unsourced random access. The proposed modulation can be deemed as a summation of third-order tensors, of which the factors are representatives of subspaces. A constellation design based on high-dimensional Grassmann manifold is presented for information encoding. The uniqueness of tensor decomposition provides theoretical guarantee for active user separation. Simulation results show that our proposed method outperforms the state-of-the-art tensor-based modulation.

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Zhenting Luan, Yuchi Wu, Shansuo Liang, Liping Zhang, Wei Han, Bo Bai. 2021-12-05. A Tensor-BTD-based Modulation for Massive Unsourced Random Access. https://arxiv.org/abs/2112.02629

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