TY - JOUR
T1 - Flexible uplink MU-MIMO scheduling in unlicensed spectrum
AU - Jia, Boqi
AU - Zhou, Ting
AU - Hu, Honglin
AU - Yang, Yang
AU - Li, Zhenhong
AU - Boumard, Sandrine
N1 - Funding Information:
The authors are very grateful to all the experts from TCL Communication Technology Holdings Limited for their hard work and valuable discussions. Jia Boqi’s work was partly supported by the NSFC International Cooperation and Exchange Program (Grant No. 61461136001). Zhou Ting’s work was partly supported by the Shanghai Rising-Star Program (grant no.17QA1403800) and the NSFC International Cooperation and Exchange Program (Grant No. 61461136004). Hu Honglin’s work was partly supported by the ESEC project of Tekes and the National Natural Science Foundation of China (Grant No.61401440). Yang Yang’s work was partly supported by the NSFC International Cooperation and Exchange Program (Grant No. 61461136003).
Publisher Copyright:
© 2013 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Utilizing the unlicensed spectrum as supplementary is being studied to meet the increasingly growing demand of user equipment for rate, traffic and bandwidth, and thus to mitigate the current spectrum scarcity crisis. In this paper, we investigate the uplink multi-user multiple-input multiple-output (UL MU-MIMO) technique to achieve multiplexing gain in unlicensed spectrum. We first define a new parameter called channel busy radio (CBR) which is related to the probability of occupying the unlicensed channel, and find that the failure to occupy the unlicensed channel leads to the performance degradation in unlicensed spectrum. Then, according to the user-specific CBR of the unlicensed channel, we propose a flexible scheduling scheme for UL MU-MIMO in unlicensed spectrum, and formulate an optimization problem for the optimal scheduled user number. Furthermore, an adaptive scheduling algorithm is proposed to decide the optimal number of the scheduled users efficiently. The simulation results show that, based on statistical channel condition in unlicensed spectrum, adjusting the number of the scheduled user flexibly can offset the degraded throughput and form an optimal MU-MIMO transmission.
AB - Utilizing the unlicensed spectrum as supplementary is being studied to meet the increasingly growing demand of user equipment for rate, traffic and bandwidth, and thus to mitigate the current spectrum scarcity crisis. In this paper, we investigate the uplink multi-user multiple-input multiple-output (UL MU-MIMO) technique to achieve multiplexing gain in unlicensed spectrum. We first define a new parameter called channel busy radio (CBR) which is related to the probability of occupying the unlicensed channel, and find that the failure to occupy the unlicensed channel leads to the performance degradation in unlicensed spectrum. Then, according to the user-specific CBR of the unlicensed channel, we propose a flexible scheduling scheme for UL MU-MIMO in unlicensed spectrum, and formulate an optimization problem for the optimal scheduled user number. Furthermore, an adaptive scheduling algorithm is proposed to decide the optimal number of the scheduled users efficiently. The simulation results show that, based on statistical channel condition in unlicensed spectrum, adjusting the number of the scheduled user flexibly can offset the degraded throughput and form an optimal MU-MIMO transmission.
KW - 5G
KW - MU-MIMO
KW - unlicensed spectrum
KW - uplink scheduling
UR - http://www.scopus.com/inward/record.url?scp=85040671420&partnerID=8YFLogxK
U2 - 10.1109/CC.2017.8246337
DO - 10.1109/CC.2017.8246337
M3 - Article
AN - SCOPUS:85040671420
SN - 1673-5447
VL - 14
SP - 59
EP - 71
JO - China Communications
JF - China Communications
IS - 12
M1 - 8246337
ER -