Method for performing channel estimation on communication system assisted by intelligent reflecting surface based on position information

Abstract

A method for performing channel estimation on a communication system assisted by an intelligent reflecting surface based on position information is characterized by comprising the following steps: 1) acquiring position parameters of a base station and the intelligent reflecting surface; 2) acquiring a user position; 3) calculating a channel range between the intelligent reflecting surface and the user; 4) establishing an uplink communication system model: assuming that a signal is sent by a user and a direct transmission channel between the user and a base station is blocked, considering a cascade channel of base station-intelligent reflecting surface-user, and establishing the system model; 5) establishing an optimization problem: establishing the optimization problem by using a maximum likelihood estimation theory, and constraining the channel state information in combination with the position information; 6) parameter setting: setting a step length of a gradient descent algorithm, and setting an iteration stop condition; and 7) solving the objective function: solving the channel state information through a gradient descent method, and correcting the result by using the constraint obtained by the position information until the condition is met.

Description

technical field [0001] The invention belongs to the communication field, in particular to the channel estimation of the far-field communication system assisted by an intelligent reflection surface. Background technique [0002] Massive communication (MIMO) is characterized by huge antenna arrays, requiring a large number of radio frequency chains, not only expensive equipment, but also serious energy consumption. The intelligent reflector composed of a large number of passive reflectors can not only alleviate the high cost and power of communication. It can also reconfigure the wireless communication environment, significantly improve wireless communication coverage, throughput, and energy efficiency, and is more in line with the purpose of 6G green communication. It has become a promising new technology in recent years. However, the number of reflective elements of a smart reflector is usually large, so the channel dimension is higher than that of the existing common commun...

AI Technical Summary

Problems solved by technology

However, the number of reflective elements of smart reflectors is usually large, so the channel dimension is higher than that of existing ordinary communication networks, which brings difficulties to channel estimation

Therefore, channel estimation for smart reflector-assisted communication systems is a challenging problem

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