TY - JOUR
T1 - Energy-Saving UAV-Assisted Multiuser Communications with Massive MIMO Hybrid Beamforming
AU - Du, Jingbo
AU - Xu, Wei
AU - Deng, Yansha
AU - Nallanathan, Arumugam
AU - Vandendorpe, Luc
PY - 2020/5
Y1 - 2020/5
N2 - In this letter, we consider hybrid beamforming for unmanned aerial vehicle (UAV)-Assisted communications with massive multiple-input multiple-output (MIMO). Using a hybrid beamforming design, we derive an approximate closed-form expression of rate and provide a power allocation design under the line-of-sight (LoS) channels. It is revealed that the total transmit power should be inversely proportional to the number of antennas of UAV in order to satisfy the rate requirement of each user. Furthermore, we propose the optimal location design of the UAV. For the special case the pathloss exponent is 2, the optimal location is the weighted average location of all users where the weights are signal to interference plus noise ratio (SINR) requirements of all users. It is shown that the weighted average location could be an approximate method to design the UAV location with little performance gap to the optimal location even when path loss exponent is not 2.
AB - In this letter, we consider hybrid beamforming for unmanned aerial vehicle (UAV)-Assisted communications with massive multiple-input multiple-output (MIMO). Using a hybrid beamforming design, we derive an approximate closed-form expression of rate and provide a power allocation design under the line-of-sight (LoS) channels. It is revealed that the total transmit power should be inversely proportional to the number of antennas of UAV in order to satisfy the rate requirement of each user. Furthermore, we propose the optimal location design of the UAV. For the special case the pathloss exponent is 2, the optimal location is the weighted average location of all users where the weights are signal to interference plus noise ratio (SINR) requirements of all users. It is shown that the weighted average location could be an approximate method to design the UAV location with little performance gap to the optimal location even when path loss exponent is not 2.
KW - Hybrid beamforming
KW - massive MIMO
KW - unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85084932731&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2020.2971701
DO - 10.1109/LCOMM.2020.2971701
M3 - Article
AN - SCOPUS:85084932731
SN - 1089-7798
VL - 24
SP - 1100
EP - 1104
JO - IEEE COMMUNICATIONS LETTERS
JF - IEEE COMMUNICATIONS LETTERS
IS - 5
M1 - 8984302
ER -