An Overloaded SC-CP IoT Signal Detection Method via Sparse Complex Discrete-Valued Vector Reconstruction
An Overloaded SC-CP IoT Signal Detection Method via Sparse Complex Discrete-Valued Vector Reconstruction
复制标题
一种基于稀疏复数离散值向量重构的重载 SC-CP 物联网信号检测方法
DOI：
10.1109/apsipaasc47483.2019.9023021
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
and Ryo Hayakawa
中科院分区：
文献类型：
--
作者：
Kazunori Hayashi;Ayano Nakai-Kasai;and Ryo Hayakawa
针对上行链路物联网（IoT）环境，提出了使用凸优化方法的过载MU-MIMO（多用户多输入多输出）SC-CP（具有循环前缀的单载波块传输）的低延迟信号检测方法，其中许多IoT终端由具有比IoT终端的天线数量少的天线数量的基站服务。该方法利用SC-CP物联网信号的离散性和稀疏性，通过称为复稀疏正则化子之和（SCSR）的凸优化方法检测过载物联网信号。仿真结果验证了该方法的有效性。
The paper proposes low-latency signal detection methods for overloaded MU-MIMO (Multi-User Multi-Input Multi-Output) SC-CP (Single Carrier block transmission with Cyclic Prefix) using convex optimization approach for uplink IoT (Internet of Things) environments where a lot of IoT terminals are served by a base station having less number of antennas than that of IoT terminals. The proposed method detects overloaded IoT signals via convex optimization approach named sum of complex sparse regularizers (SCSR) taking advantage of both the discreteness and the sparsity of the SC-CP IoT signal. Simulation results demonstrate the validity of the proposed method.