TY - GEN
T1 - Hybrid Active User Detection for Massive Machine-type Communications in IoT
AU - Lim, Guyoung
AU - Ji, Hyoungju
AU - Shim, Byonghyo
N1 - Funding Information:
This work was sponsored by the National Research Foundation of Korea (NRF) grant funded by the Korean government(MSIP) (2014R1A5A1011478).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/16
Y1 - 2018/11/16
N2 - Massive machine-type communication (mMTC) concerns the access of massive machine-type communication (MTC) devices to the basestation. To support the massive connectivity, non-orthogonal multiple access (NOMA) and grant-free access have been recently introduced. In grant-free access, each device transmits information without scheduling so that the basestation needs to identify the active devices among all potential devices in a cell. This process, called an active user detection (AUD), is a challenging problem for the NOMA-based systems since it is difficult to find out the active devices from the superimposed received signal. To address this problem, compressed sensing (CS) based active user detection (AUD) technique exploiting the low activity of devices in mMTC has been introduced. In this paper, we propose an AUD scheme that exploits both pilot and data measurements to improve the AUD performance in grant-free NOMA systems. The key idea is to use the common support information of pilot and data signals in a packet. Numerical results demonstrate that the proposed AUD scheme outperforms the conventional approaches in both AUD and throughput performance.
AB - Massive machine-type communication (mMTC) concerns the access of massive machine-type communication (MTC) devices to the basestation. To support the massive connectivity, non-orthogonal multiple access (NOMA) and grant-free access have been recently introduced. In grant-free access, each device transmits information without scheduling so that the basestation needs to identify the active devices among all potential devices in a cell. This process, called an active user detection (AUD), is a challenging problem for the NOMA-based systems since it is difficult to find out the active devices from the superimposed received signal. To address this problem, compressed sensing (CS) based active user detection (AUD) technique exploiting the low activity of devices in mMTC has been introduced. In this paper, we propose an AUD scheme that exploits both pilot and data measurements to improve the AUD performance in grant-free NOMA systems. The key idea is to use the common support information of pilot and data signals in a packet. Numerical results demonstrate that the proposed AUD scheme outperforms the conventional approaches in both AUD and throughput performance.
KW - Massive machine-type communication (mMTC)
KW - active user detection (AUD)
KW - compressed sensing (CS)
KW - grant-free
KW - non-orthogonal multiple access (NOMA)
UR - http://www.scopus.com/inward/record.url?scp=85059477006&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2018.8539661
DO - 10.1109/ICTC.2018.8539661
M3 - Conference contribution
AN - SCOPUS:85059477006
T3 - 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018
SP - 1049
EP - 1052
BT - 9th International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Information and Communication Technology Convergence, ICTC 2018
Y2 - 17 October 2018 through 19 October 2018
ER -