TY - GEN
T1 - Downtilts optimization and power allocation for vertical sectorization in AAS-based LTE-A downlink systems
AU - Niu, Jinping
AU - Li, Geoffrey Y.
AU - Fan, Jiancun
AU - Wang, Wei
AU - Nie, Weike
AU - Li, Xun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Active antenna system (AAS) is a promising technology to boost the capacity of next generation wireless communication systems. As a key feature of AAS, vertical sectorization can help form new sub-sectors vertically in a conventional macro cell, facilitates reusing the frequency resources for multiple users, and thus has the potential to improve the system peroformance. In this paper, we investigate the performance of vertical sectorization by optimizing the antenna downtilt and transmit power in LTE-A downlink systems. We first derive the achievable data rate of a downlink wireless communication system considering vertical sectorization and then formulate the problem based on the derived data rate. Finally, antenna downtilt and transmit power are optimized to improve the performance of vertical sectorization. The simulation results demonstrate the effectiveness of the proposed algorithm.
AB - Active antenna system (AAS) is a promising technology to boost the capacity of next generation wireless communication systems. As a key feature of AAS, vertical sectorization can help form new sub-sectors vertically in a conventional macro cell, facilitates reusing the frequency resources for multiple users, and thus has the potential to improve the system peroformance. In this paper, we investigate the performance of vertical sectorization by optimizing the antenna downtilt and transmit power in LTE-A downlink systems. We first derive the achievable data rate of a downlink wireless communication system considering vertical sectorization and then formulate the problem based on the derived data rate. Finally, antenna downtilt and transmit power are optimized to improve the performance of vertical sectorization. The simulation results demonstrate the effectiveness of the proposed algorithm.
UR - https://www.scopus.com/pages/publications/85045246539
U2 - 10.1109/VTCFall.2017.8288061
DO - 10.1109/VTCFall.2017.8288061
M3 - 会议稿件
AN - SCOPUS:85045246539
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 -