An Optimization Method for Massive MIMO Signal Energy Simultaneous Interpretation System Aiming at Hardware Damage

Abstract

The invention discloses a Massive MIMO signal energy simultaneous transmission system optimization method aimed at hardware damage, establishes a Massive MIMO downlink signal energy simultaneous transmission system model, and then separately discusses the hardware damage at the base station transmitter and the user's information receiver. The hardware damage of the user and the hardware damage of the user’s energy receiver; according to the hardware damage model of the base station, information receiver, and energy receiver, it is guaranteed that the total power sent by the base station is constrained and the energy collected by the user’s energy receiver is greater than the threshold, and the expression of the user’s The maximum and minimum achievable rate optimization problem; the introduction of auxiliary variables, and the nonlinear energy collection function as a monotonically increasing function, transforming problem P1 into problem P2; the energy collection constraints of users, the total power constraints of base stations, and the achievable speed of information users Constraints are expressed as a function of the variance and pseudo-variance of the transmitted signal; the maximum and minimum achievable rates of users are solved, and the iterative optimization algorithm is used to realize system optimization. The present invention takes advantage of the additional degrees of freedom provided by asymmetric Gaussian signals.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an optimization method for a Massive MIMO signal energy simultaneous interpretation system aimed at hardware damage. Background technique [0002] In the Simultaneous Wireless Information Power Transfer System (SWIPT), radio frequency-based wireless power transfer is inefficient. In order to improve the spectrum efficiency and energy transmission efficiency of the SWIPT system, Massive MIMO technology is adopted. This feature significantly improves the degree of spatial freedom and helps to eliminate interference between users. Users in the cell can communicate at the same time. Communicate with the base station on frequency resources (SDMA). As far as energy transmission is concerned, the base station gathers energy in a small area through energy beamforming, which is beneficial to improve the energy transmission efficiency of the system. With the ad...

AI Technical Summary

Problems solved by technology

However, this model cannot accurately model the asymmetric behavior due to transceiver hardware impairments (I / Q imbalance)

[0004] At the same time, as far as energy transmission is concerned, the hardware damage is the nonlinear operating characteristics of the rectifier in the energy harvesting circuit, and most of the existing articles use a linear energy harvesting model, which cannot accurately model the actual energy harvesting process

Images