Sparse pilot matrix design for uplink grant-free SCMA system

Quan Yuan, Zhenyong Wang, Xuanying Zhang, Ci He, Wei Cai
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Abstract

The existing active user detection for uplink grant-free SCMA adopts a detection method of 4G competitive access. The pilot sequence used for the detection are ZC sequences which occupy many resource elements. In the mass machine type communication scenario, the uplink access has the characteristics of sparsity, so the user's activity can be estimated by using compressed sensing. In this paper, a sparse block circulant matrix is used as the pilot matrix (observation matrix). Combined with the OMP algorithm, the active user detection in uplink grant-free SCMA is realized under the condition of unknown active user sparsity. The simulation results show that the active user detection scheme proposed in this paper has comparable performance to the existing detection methods under the premise of reducing pilot overhead.
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上行链路无授权SCMA系统的稀疏导频矩阵设计
现有的无上行授权SCMA主动用户检测采用的是4G竞争接入检测方法。用于检测的导频序列是占用大量资源元素的ZC序列。在海量机型通信场景中,上行接入具有稀疏性的特点,因此可以利用压缩感知来估计用户的活跃度。本文采用稀疏分块循环矩阵作为导频矩阵(观测矩阵)。结合OMP算法,在活跃用户稀疏度未知的情况下,实现了上行无授权SCMA中的活跃用户检测。仿真结果表明,在减少导频开销的前提下,本文提出的主动用户检测方案具有与现有检测方法相当的性能。
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