TY - GEN
T1 - Capacity analysis and optimization of millimeter wave cellular networks with beam scanning
AU - Xu, Rui
AU - Fan, Jiancun
AU - Zhang, Ying
AU - Luo, Xinmin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Millimeter Wave (mmW) communication has received more and more attention since it can use the massive available bandwidths to improve the rate of wireless networks. In this paper, we will analyze and optimize the performance of mmW communication system with directional cell discovery based on beam scanning. We first model the mmW communication system with beam scanning and then analyze the effect of the number of the scanning beams and the beam gains on its performance. Since changing the number of scanning beams, K, can not only adjust the beam gains but also control the cell searching delay equivalently, K can be optimized to maximum the system capacity and reduce pilot signal overhead. The simulation and analysis results show that there exists an optimal K which not only makes the system capacity maximum but also trade off the cell searching delay and the beam gain.
AB - Millimeter Wave (mmW) communication has received more and more attention since it can use the massive available bandwidths to improve the rate of wireless networks. In this paper, we will analyze and optimize the performance of mmW communication system with directional cell discovery based on beam scanning. We first model the mmW communication system with beam scanning and then analyze the effect of the number of the scanning beams and the beam gains on its performance. Since changing the number of scanning beams, K, can not only adjust the beam gains but also control the cell searching delay equivalently, K can be optimized to maximum the system capacity and reduce pilot signal overhead. The simulation and analysis results show that there exists an optimal K which not only makes the system capacity maximum but also trade off the cell searching delay and the beam gain.
UR - https://www.scopus.com/pages/publications/85045275695
U2 - 10.1109/VTCFall.2017.8288069
DO - 10.1109/VTCFall.2017.8288069
M3 - 会议稿件
AN - SCOPUS:85045275695
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017
Y2 - 24 September 2017 through 27 September 2017
ER -