Power Optimization for Aerial Intelligent Reflecting Surface-Aided Cell-Free Massive MIMO-Based Wireless Sensor Network

Algorithm 1

Joint optimization algorithm.

(1)	Initialize the AIRS reflection coefficient vector .
(2)	Update the beamforming vectors by solving and calculate the total transmission power.
(3)	Use the updated beamforming vectors to obtain by solving .
(4)	If is of rank one Obtain the optimal via rank-one decomposition. Else Obtain the optimal via Gauss randomization. End
(5)	Repeat steps 2–4. If the absolute value of the difference of transmission power between the -th and the -th iterations is less than 0.0001, the convergence is achieved. Then output the current and .