论文标题
基于分层代码书的多源束训练毫米大型MIMO
Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO
论文作者
论文摘要
在本文中，研究了基于级别波浪的层次代码本的多峰束训练，其中研究了基站（BS）同时使用多个用户设备（UES）执行梁训练。对于UES，提出了一种具有封闭形式表达式（AMCF）的替代最小化方法，以在恒定模量约束下设计层次代码簿。为了加快AMCF的收敛性，提出了一种基于Zadoff-Chu序列的初始化方法。对于BS，提出了基于自适应设计的层次代码簿的同时多源束训练方案，在该方案中，根据上一层的光束训练结果设计了当前层中的代码字。 BS的代码字由多个主障车设计，每个主机覆盖一个或多个UE的空间区域。仿真结果验证了所提出的层次代码书设计方案的有效性，并表明所提出的多用梁训练方案可以接近横梁的性能，但会大大减少梁训练开销。
In this paper, multiuser beam training based on hierarchical codebook for millimeter wave massive multi-input multi-output is investigated, where the base station (BS) simultaneously performs beam training with multiple user equipments (UEs). For the UEs, an alternative minimization method with a closed-form expression (AMCF) is proposed to design the hierarchical codebook under the constant modulus constraint. To speed up the convergence of the AMCF, an initialization method based on Zadoff-Chu sequence is proposed. For the BS, a simultaneous multiuser beam training scheme based on an adaptively designed hierarchical codebook is proposed, where the codewords in the current layer of the codebook are designed according to the beam training results of the previous layer. The codewords at the BS are designed with multiple mainlobes, each covering a spatial region for one or more UEs. Simulation results verify the effectiveness of the proposed hierarchical codebook design schemes and show that the proposed multiuser beam training scheme can approach the performance of the beam sweeping but with significantly reduced beam training overhead.
