Adaptive modulation and power control system based on energy collection and optimization method thereof

Abstract

The invention discloses an adaptive modulation and power control system based on energy collection and an optimization method thereof, which are applied to the technical field of wireless communication networks, and the system comprises a transmitter, a receiver, a Rayleigh fading channel and a channel estimation module, the transmitter adaptively adjusts the transmitting power and the modulationmode of the transmitter according to the feedback information of the channel estimation module under the constraints of an average power limit, an average bit error rate limit and an average energy harvesting limit; the receiver adaptively adjusts a power segmentation factor; the receiver comprises a rechargeable battery, the receiver stores a part of received energy into the battery in a power division mode, and the remaining energy transmits data to the transmitter through a Rayleigh fading channel; and therefore, the problem of energy supply of a future Internet of Things low-power-consumption receiver is effectively solved, and the vision of a green network is realized.

Description

technical field [0001] The invention belongs to the technical field of wireless communication networks, and in particular relates to an adaptive link technology applied to a SWIPT system. Background technique [0002] In recent years, simultaneous wireless information and power transfer (SWIPT) has received considerable attention to extend the lifetime of energy-constrained nodes. In the SWIPT application scenario, the transmitter sends information and energy to the receiver through a wireless channel. In the traditional transmission scheme, the modulation mode and transmission power are fixed, which is called a non-adaptive scheme. This scheme cannot make full use of time-varying fading channels. And it is a non-adaptive system designed according to the worst case of the channel state in order to ensure reliable transmission in each state of the time-varying channel. The design principles of the system lead to underutilization of the channel capacity. In order to obtain...

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Problems solved by technology

In traditional optimization methods, although the time-varying channel is considered, the assumption in related studies that the channel transition probability is known in the system is unreasonable, because it is difficult to estimate the channel transition probability accurately in the real world

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