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.
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
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.
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.
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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