TY - GEN
T1 - How to Mobilize Mmwave
T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
AU - Li, Jiahui
AU - Sun, Yin
AU - Xiao, Limin
AU - Zhou, Shidong
AU - Sabharwal, Ashutosh
N1 - Funding Information:
J. Li, L. Xiao, and S. Zhou were supported in part by National S&T Major Project grant 2017ZX03001011-002, National Natural Science Foundation of China grant 61631013, National High Technology Research and Development Program of China (863 Program) grant 2014AA01A703, Science Fund for Creative Research Groups of NSFC grant 61621091, Ts-inghua University Initiative Scientific Research grant 2016ZH02-3, International Science and Technology Cooperation Program grant 2014DFT10320, 2011 Plan Wireless Communication Technology Co-Innovation Center grant 20161210020, Tsinghua-Qualcomm Joint Research Program. Y. Sun was supported in part by ONR grant N00014-17-1-2417. A. Sabharwal was supported in part by NSF grants CNS-1518916 and CNS-1314822.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/10
Y1 - 2018/9/10
N2 - Maintaining reliable millimeter wave (mmWave) connections to many fast-moving mobiles is a key challenge in the theory and practice of 5G systems. In this paper, we develop a new algorithm that can jointly track the beam direction and channel coefficient of mm Wave propagation paths using phased antenna arrays. Despite the significant difficulty in this problem, our algorithm can simultaneously achieve fast tracking speed, high tracking accuracy, and low pilot overhead. In static scenarios, this algorithm can converge to the minimum Cramér-Rao lower bound of beam direction with high probability. Simulations reveal that this algorithm greatly outperforms several existing algorithms. Even at SNRs as low as 5dB, our algorithm is capable of tracking a mobile moving at an angular velocity of 5.45 degrees per second and achieving over 95% of channel capacity with a 32-antenna phased array, by inserting only 10 pilots per second.
AB - Maintaining reliable millimeter wave (mmWave) connections to many fast-moving mobiles is a key challenge in the theory and practice of 5G systems. In this paper, we develop a new algorithm that can jointly track the beam direction and channel coefficient of mm Wave propagation paths using phased antenna arrays. Despite the significant difficulty in this problem, our algorithm can simultaneously achieve fast tracking speed, high tracking accuracy, and low pilot overhead. In static scenarios, this algorithm can converge to the minimum Cramér-Rao lower bound of beam direction with high probability. Simulations reveal that this algorithm greatly outperforms several existing algorithms. Even at SNRs as low as 5dB, our algorithm is capable of tracking a mobile moving at an angular velocity of 5.45 degrees per second and achieving over 95% of channel capacity with a 32-antenna phased array, by inserting only 10 pilots per second.
KW - Beam and channel tracking
KW - Fast tracking speed
KW - High accuracy
KW - Mm Wave
KW - Phased antenna arrays
UR - http://www.scopus.com/inward/record.url?scp=85054275432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054275432&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2018.8461760
DO - 10.1109/ICASSP.2018.8461760
M3 - Conference contribution
AN - SCOPUS:85054275432
SN - 9781538646588
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3624
EP - 3628
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 April 2018 through 20 April 2018
ER -