A method for evaluating interference performance without relying on direct information feedback
By initializing the parameters of the interfering nodes and inducing the interference period, identifying the power control model of the communication pair, and calculating the channel power gain and location, the problem of evaluating the interference effectiveness of the interfering party under non-cooperative conditions is solved, and accurate evaluation and optimization are achieved without direct information feedback.
Patent Information
- Application Number
- CN202510098807.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-22
- Publication Date
- 2025-11-11
- Estimated Expiration
- 2045-01-22
AI Technical Summary
In cognitive interference, the interfering party has difficulty directly obtaining feedback on the state parameters of the communicating party, which makes it difficult to evaluate the interference effect. Especially in non-cooperative relationships, optimization methods and machine learning methods are difficult to solve the interference effectiveness evaluation problem accurately and effectively.
By initializing the parameters of the interfering nodes, inducing the interference period, recording the transmission power of the communication pair, performing density-based clustering, identifying the power control model, calculating the channel power gain and location, and estimating the interference effect function value, interference effectiveness assessment without direct information feedback can be achieved.
It enables accurate evaluation of interference effects without direct feedback, provides support for interference decision optimization, improves interference effectiveness, and is applicable to cognitive interference decision-making and optimization.