Channel capacity optimization method of intelligent reflector MISO wireless communication system

Abstract

The invention discloses a channel capacity optimization method for an intelligent reflector MISO wireless communication system, and the method comprises the steps: building an intelligent reflector MISO wireless communication system model; secondly, representing the channel capacity by using a beamforming emission strategy, and establishing a channel capacity optimization mathematical model, wherein the channel capacity is related to a transmitting beam forming vector v and a reflection matrix phi, and optimally describing the channel capacity as a problem (P1); then, decomposing the problem (P1) into two sub-optimization problems of an optimized transmitting beam forming vector v and an optimized reflection matrix [phi], and obtaining the optimal solutions of v and [phi]; and finally, performing alternate iterative optimization on the two sub-optimization problems until convergence, and taking [phi] as an optimal reflection matrix at the moment, thereby obtaining the final optimization result of the problem (P1). According to the invention, the system performance is optimal by adjusting the reflection coefficient of the reflection matrix; and the adopted alternating optimization algorithm is suitable for configuring a reflection matrix, the calculation complexity is low, and the performance of the intelligent reflecting surface system is effectively improved.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a channel capacity optimization method of an intelligent reflection surface MISO wireless communication system. Background technique [0002] Massive multiple-input multiple-output (Multiple-Input Multiple-Out, MIMO) technology is the future development direction of wireless communication. Massive MIMO is a cutting-edge communication technology that uses large-scale antenna arrays in the base station to serve multiple users at the same time. It provides considerable power gain and improves spectral efficiency by orders of magnitude. However, in existing massive MIMO wireless communication systems, traditional phased arrays for beamforming require hundreds of high-resolution phase shifters and complex feeding networks. Therefore, the high power consumption and hardware cost of these phase shifters and the complex feed network limit the antenna array size of massi...

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Problems solved by technology

R. Zhang and others have done a lot of work on the optimization of intelligent reflectors, and proposed how to minimize the transmission power of the access point, maximize the reachable rate, and the method of receiving weight and power of the energy harvesting receiver. However, these studies are based on the The wireless communication system model of smart reflectors is relatively simplified, so there is still a lot of room for research on smart reflectors

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