Beamforming for Simultaneous Wireless Information and Power Transfer
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Solution Overview
Problem
Existing simultaneous wireless information and power transfer systems fail to optimize power consumption at the base station and do not consider the efficiency of energy users, using a non-linear model effectively.
Innovation Solution
A beamforming method that derives transmission signals for both information and energy users, optimizing transmission signal power based on Quality of Service (QoS) by considering both linear and non-linear harvested power models, using noise power and power conversion efficiency for energy users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If existing simultaneous wireless information and power transfer systems are used, then wireless energy transmission to user terminals is achieved, but power consumption at the base station is not optimized and energy user efficiency is not considered
Solution Approach 1:
The patent applies parameter changes by deriving transmission signals that simultaneously optimize information user QoS and energy user harvested power. The base station adjusts transmission parameters including beamforming vectors and power allocation to maximize energy transfer efficiency while meeting quality of service requirements, thereby resolving the contradiction between power consumption optimization and energy transfer productivity.
Solution Approach 2:
The patent implements dynamics by continuously optimizing the transmission signal based on channel conditions and user requirements. The system dynamically adjusts the beamforming configuration and power distribution to adapt to varying network conditions, enabling simultaneous optimization of base station power consumption and energy user efficiency in real-time.
2Device complexity
If non-linear harvested power model is not considered, then system complexity is reduced, but energy user efficiency is not accurately optimized
Solution Approach 1:
The patent incorporates the non-linear harvested power model by transforming it into an equivalent linear form through parameter substitution. The non-linear relationship between received power and harvested power is captured using efficiency parameters, allowing the system to maintain measurement precision for energy user efficiency while avoiding the computational complexity of direct non-linear optimization.
3Device complexity
If beamforming is performed without considering both linear and non-linear harvested power, then computational complexity is reduced, but total harvested energy is not maximized
Solution Approach 1:
The patent resolves this contradiction by deriving transmission signals that account for both linear and non-linear harvested power characteristics through parameter transformation. The non-linear model is converted into an equivalent linear optimization problem, enabling the system to maximize total harvested energy while maintaining computational tractability through efficient signal derivation methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more efficient beamforming, minimizing base station transmission power while maximizing energy user harvested power, while ensuring QoS and transmission power limitations are met.
Implementation Method 1
a wireless powered communication network (WPCN) configured to wirelessly charge user terminals with signals emitted by a transmitter
Data Source
AI summary
A beamforming method in a simultaneous wireless information and power transfer system and an apparatus therefor may derive a transmission signal transmitted to a plurality of information users and a plurality of energy users from a base station having an NT (here, NT is a natural number) number of antennas included in each cell, derive a SINR (Signal to Interference plus Noise Ratio) of an ith (here, i is a natural number) information user by using a noise power of the ith (here, i is a natural number) information user included in a mth (here, m is a natural number) cell, derive a harvested power of a jth (here, j is a natural number) energy user included in the mth (here, m is a natural number) cell, and perform beamforming by using a transmission signal power at the base station and a total harvested power of the plurality of energy users receiving a transmission signal from the base station. Accordingly, it is possible to improve the effect of minimizing the transmission power of the base station and maximizing the harvested power of the energy users while satisfying the QoS (Quality of Service) and transmission power limitation of the information users.