基于QC调度的无线能量与信息同传系统及方法

By using a QC-based scheduling method and a quantum annealing processor to solve the QUBO optimization model, global optimal resource scheduling for the wireless energy and information co-transmission system was achieved. This solved the problem of classical algorithms getting stuck in local optima and improved spectrum utilization and transmission efficiency.

CN121419012BActive Publication Date: 2026-07-17CHENGDU SHENSHI TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU SHENSHI TECHNOLOGY CO LTD
Filing Date
2025-10-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing wireless energy and information transmission technologies, classical optimization algorithms are prone to getting trapped in local optima, have high computational complexity, and are difficult to meet the complex optimization problem of resource allocation for multiple terminals, especially in full-duplex communication where spectrum utilization is low.

Method used

A QC-based scheduling method is adopted, which involves the terminal reporting hardware capability vectors, the base station preloading QUBO problem templates, exchanging channel state information, constructing a QUBO optimization model and solving it using a quantum annealing processor, and finally generating energy and information beams for parallel transmission.

Benefits of technology

It achieves globally optimal resource scheduling, improves energy transmission efficiency and information throughput, significantly increases spectrum utilization, adapts to different terminal needs, dynamically responds to environmental changes, and reduces transmission interruption rate.

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Abstract

本发明公开基于QC调度的无线能量与信息同传系统及方法,涉及无线通信与能量传输交叉领域技术领域,终端向基站上报硬件能力向量,硬件能力向量包括:能量接收电路的谐振频率、最大接收功率、支持的通信协议与速率、是否能进行全双工操作;基站预加载QUBO问题模板;基站与终端交互获取上下行信道状态信息,终端上报能量与信息需求向量。本发明通过量子退火求解QUBO优化模型,可快速获取全局最优资源调度解,避免经典算法局部最优问题,显著提升能量传输效率和信息吞吐量。采用全双工同频段同时隙传输架构,结合联合波束成形技术,在有限频谱资源下实现无线电能与信息的并行传输,频谱和能量利用效率较传统半双工方案大幅提升。
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