Hybrid Active User Detection for Massive Machine-type Communications in IoT - researchr publication related

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Guyoung Lim, Hyoungju Ji, Byonghyo Shim. Hybrid Active User Detection for Massive Machine-type Communications in IoT. In International Conference on Information and Communication Technology Convergence, ICTC 2018, Jeju Island, Korea (South), October 17-19, 2018. pages 1049-1052, IEEE, 2018. [doi]

The following publications are possibly variants of this publication:

MAP-Based Active User and Data Detection for Massive Machine-Type CommunicationsByeong-Kook Jeong, Byonghyo Shim, Kwang Bok Lee. tvt, 67(9):8481-8494, 2018. [doi]

Greedy Data-Aided Active User Detection for Massive Machine Type CommunicationsSyed Ali Irtaza, Sun Hong Lim, Jun Won Choi. wcl, 8(4):1224-1227, 2019. [doi]

Joint active user detection and channel estimation for massive machine-type communicationsSunHo Park, Heejin Seo, Hyoungju Ji, Byonghyo Shim. spawc 2017: 1-5 [doi]

Expectation Propagation-Based Active User Detection and Channel Estimation for Massive Machine-Type CommunicationsJinyoup Ahn, Byonghyo Shim, Kwang Bok Lee. icc 2018: 1-6 [doi]

A Compressive Sensing-Based Active User and Symbol Detection Technique for Massive Machine-Type CommunicationsByeong-Kook Jeong, Byonghyo Shim, Kwang Bok Lee. icassp 2018: 6623-6627 [doi]

EP-Based Joint Active User Detection and Channel Estimation for Massive Machine-Type CommunicationsJinyoup Ahn, Byonghyo Shim, Kwang Bok Lee. tcom, 67(7):5178-5189, 2019. [doi]

Deep Learning-Based Spreading Sequence Design and Active User Detection for Massive Machine-Type CommunicationsNamik Kim, Dongwoo Kim, Byonghyo Shim, Kwang Bok Lee. wcl, 10(8):1618-1622, 2021. [doi]

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