Massive Random Access with Tensor-based Modulation in the Presence of Timing Offsets
Massive Random Access with Tensor-based Modulation in the Presence of Timing Offsets
复制标题
在存在定时偏移的情况下采用基于张量的调制进行大规模随机访问
DOI：
10.1109/globecom48099.2022.10001729
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
M. Guillaud
中科院分区：
文献类型：
--
作者：
Alexis Decurninge;Paul Ferrand;M. Guillaud
基于张量的调制（TBM）[1]是一种新颖的波形设计，可以在未来的无线网络中实现大规模随机接入。在本文中，我们研究了在使用正交频分复用（OFDM）传输时TBM对时间偏移的敏感性。我们表明，只要满足关于OFDM时频网格上张量元素映射的一些温和条件，仍然有可能分离用户，并在每个用户的基础上估计和补偿他们的时间偏移。我们证明了该估计器在相干和非相干调制方案下的有效性。
Tensor-based modulation (TBM) [1] is a novel waveform design allowing massive random access in future wireless networks. In this article, we study the sensitivity of TBM to timing offsets when using orthogonal frequency division multiplexing (OFDM) transmissions. We show that as long as some mild conditions are met with respect to the mapping of the tensor elements on the OFDM time-frequency grid, it is still possible to separate the users, and to estimate and compensate their timing offsets on a per-user basis. We demonstrate the effectiveness of the estimator with both coherent and non-coherent modulation schemes.