Intelligent metasurface-assisted large-scale MIMO related channel capacity analysis and optimization method

Abstract

The invention discloses a capacity analysis and optimization method for an intelligent metasurface-assisted large-scale MIMO related channel, and the method comprises the steps: deploying the uplink communication between an intelligent metasurface-assisted user and a base station, and obtaining a channel mean value and a spatial correlation matrix; the users simultaneously transmit orthogonal pilot frequency sequences, and the base station performs channel estimation to obtain total channel state information from each user to the base station; in the data transmission stage, a user transmits a data signal, and the base station processes the received data signal by using an estimated channel and adopting a maximum ratio merging algorithm; obtaining a closed expression of the lower bound of the uplink traversal capacity by adopting a delimitation method of using and forgetting channel state information; optimizing a reflection coefficient matrix of the intelligent metasurface by using a cross entropy method according to a criterion of maximizing the user sum rate; according to the method, spatial correlation of channels and discrete phase constraints of the intelligent metasurface are fully considered, a closed expression of traversal capacity is given, and a reflection coefficient matrix of the intelligent metasurface is optimized.

Description

technical field [0001] The invention relates to the technical field of wireless communication, and relates to a capacity analysis and optimization method of an intelligent metasurface-assisted massive MIMO related channel. Background technique [0002] As the key technology of the 5th generation mobile communication system, massive MIMO technology can improve the system throughput by more than a thousand times. By configuring a large-scale antenna at the base station, multiple data streams can be multiplexed in space, and the quasi-orthogonality can be maintained, which can significantly improve the transmission rate of users. [0003] As a new emerging technology, smart metasurfaces have recently attracted extensive attention from academia and industry at home and abroad. Smart metasurfaces consist of a large number of quasi-passive, low-cost reflective units, each of which can independently adjust the amplitude and phase of incident electromagnetic waves. By adjusting th...

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Problems solved by technology

[0006] In view of this, the purpose of the present invention is to provide intelligent metasurface-assisted capacity analysis and optimization method of massive MIMO correlation channel, in order to solve the existing ergodic capacity analysis method is limited to channel model is the fading model of space irrelevance, also proposes An optimization method suitable for reflection coefficients with discrete phase values ​​is proposed, which has very low computational complexity

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