论文标题
基于张量的调制，用于未包含的大规模随机访问
Tensor-Based Modulation for Unsourced Massive Random Access
论文作者
论文摘要
我们引入了一种调制，以调制未包含的大规模随机访问，从而传播的符号是由Grassmannian子构造构建的等级-1张量。使用低级张量结构以及张量分解，以将接收器的用户分开，可以在多用户分离和单用户拆除之间进行方便的解耦合。所提出的信号传导方案是为块褪色通道和多个安德尼纳设置而设计的，并且与最先进的未指定方法相比，表现良好。
We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in order to separate the users at the receiver, allows a convenient uncoupling between multi-user separation and single-user demapping. The proposed signaling scheme is designed for the block fading channel and multiple-antenna settings, and is shown to perform well in comparison to state-of-the-art unsourced approaches.
