TY - GEN
T1 - Smart user pairing for massive MIMO enabled industrial IoT communications
AU - Zong, Jingjie
AU - Li, Shuangzhi
AU - Zhang, Di
AU - Han, Gangtao
AU - Mu, Xiaomin
AU - Bashir, Ali Kashif
AU - Rodrigues, Joel J.P.C.
N1 - Funding Information:
The work of S. Li was supported in part by the National Natural Science Foundation of China under Grant No. 61901416; in part by the China Postdoctoral Science Foundation under Grant No. 2019M662529; in part by the Science and Technology Development Project of Henan Province under Grant No. 192102210090 and in part by the Postdoctoral Research Grant in Henan Province. The work of G. Han was supported by the Science and Technology Development Project of Henan Province under Grant No. 202102210123. The work of J. Rodrigue was supported by FCT/MCTES through national funds and when applicable co-funded EU funds under the Project UIDB/EEA/50008/2020 and by Brazilian National Council for Research and Development (CNPq) via Grant No. 309335/2017-5.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - In this paper, we concern the uplink of an industrial Internet of Things (IIoT) communication system, in which multiple single-antenna users timely upload data to a receiver having a large number of antennas over Rayleigh fading channels. To satisfy the stringent requirement of latency in the channel estimation phase of this system, we first use a phase-shift keying (PSK) modulation division scheme for each pair of users. Specifically, the absolutely additively uniquely decomposable constellation pair (AAUDCP) is allocated for two random users. With the same pilot sequence, it proves the modulated PSK symbols can be uniquely identified when the number of receiver antennas goes to infinity in a noise-free case. In a noise case, to improve the reliability of this system, we propose a smart user pairing algorithm with low complexity by maximizing the minimum signal to interference plus noise ratio at the receiver for all pairs of users. Finally, the computer simulations show that the proposed scheme can improve the system's error performance effectively.
AB - In this paper, we concern the uplink of an industrial Internet of Things (IIoT) communication system, in which multiple single-antenna users timely upload data to a receiver having a large number of antennas over Rayleigh fading channels. To satisfy the stringent requirement of latency in the channel estimation phase of this system, we first use a phase-shift keying (PSK) modulation division scheme for each pair of users. Specifically, the absolutely additively uniquely decomposable constellation pair (AAUDCP) is allocated for two random users. With the same pilot sequence, it proves the modulated PSK symbols can be uniquely identified when the number of receiver antennas goes to infinity in a noise-free case. In a noise case, to improve the reliability of this system, we propose a smart user pairing algorithm with low complexity by maximizing the minimum signal to interference plus noise ratio at the receiver for all pairs of users. Finally, the computer simulations show that the proposed scheme can improve the system's error performance effectively.
KW - IIoT
KW - Massive MIMO
KW - PSK modulation division
KW - Smart user pairing
UR - http://www.scopus.com/inward/record.url?scp=85091503888&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091503888&partnerID=8YFLogxK
U2 - 10.1109/INFOCOMWKSHPS50562.2020.9162967
DO - 10.1109/INFOCOMWKSHPS50562.2020.9162967
M3 - Conference contribution
AN - SCOPUS:85091503888
T3 - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
SP - 207
EP - 212
BT - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Y2 - 6 July 2020 through 9 July 2020
ER -