The application discloses a
millimeter wave movable array beam training method based on
quantum correlation
simulated annealing, and relates to the technical field of
wireless communication.The application proposes a
quantum correlation
simulated annealing (QCSA)
algorithm aiming at the high-dimensional, non-convex and
strongly coupled beam-array position joint
optimization problem caused by the movable array, and adopts an alternating optimization framework to decompose the joint
optimization problem into iterative solving of the transmitting and receiving subspaces; in each subspace optimization, the physical correlation between parameters is learned through
Gaussian sampling based on an adaptive
covariance matrix, the global search capability is enhanced by using an acceptance criterion containing a thermodynamic term and a
quantum tunneling term to escape from a
local optimum, and a
periodic oscillation thermal scheduling strategy is adopted to dynamically balance exploration and utilization, so that the application has the characteristics of
low overhead, fast convergence and high robustness, and is suitable for 6G
millimeter wave and terahertz movable array
MIMO systems.