Massive MIMO information and energy simultaneous transmission system optimization method for hardware damage

Abstract

The invention discloses a Massive MIMO information and energy simultaneous transmission system optimization method for hardware damage, and the method comprises the steps: establishing a Massive MIMOdownlink signal-energy simultaneous transmission system model, and respectively discussing the hardware damage at a base station transmitter, the hardware damage at an information receiver of a user,and the hardware damage at an energy receiver of the user; according to hardware damage models at a base station, an information receiver and an energy receiver, ensuring that the total power constraint sent by the base station and the energy collected at the user energy receiver are greater than a threshold, and expresing the maximum and minimum reachable rate optimization problem of the user; introducing an auxiliary variable and taking a nonlinear energy collection function as a monotone increasing function, and converting the problem P1 into a problem P2; expressing the energy collection constraint of the user, the total power constraint of the base station and the reachable rate constraint of the information user as a function of a sending signal variance and a pseudo variance; and solving the maximum and minimum reachable rates of the users, and realizing system optimization by adopting an iterative optimization algorithm. According to the method, an additional degree of freedomis provided by using an asymmetric Gaussian signal.

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...

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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

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