Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Optimize overhead" patented technology

Communication method, network side device, terminal, communication system, storage medium and product

PendingCN122294279Areduce overheadoptimize overhead
This application provides a communication method, network-side device, terminal, communication system, storage medium, and product, relating to the field of communication technology. The method includes: broadcasting first indication information, wherein the first indication information indicates the value range of a first parameter and a combination of first parameter values, the first parameter being the time slot offset between the time slot where the Downlink Control Information (DCI) is located and the time slot for the Physical Uplink Shared Channel (PUSCH) transmission, and the combination of first parameter values ​​indicating the start symbol and number of symbols for optional PUSCH transmission and the mapping type of optional PUSCH. Therefore, when broadcasting the first indication information, indicating both the value range of the first parameter and the combination of first parameter values ​​respectively, compared to indicating only the combination of the value range of the first parameter and the first parameter value, results in lower network overhead, thereby optimizing the network overhead when broadcasting a time-domain resource list.
Owner:SHANGHAI SATELLITE NETWORK RESEARCH INSTITUTE CO LTD

A Multi-Agent Traceable Decision System and Method for Environmental Data Mining

This invention provides a multi-agent traceable decision-making system and method for environmental data mining, belonging to the interdisciplinary field of artificial intelligence and environmental informatics. The system includes: a task complexity assessment module, a multi-agent conditional collaboration module, an arbitrator triggering and adjudication module, an environmental knowledge graph module, a feedback learning optimization module, and a decision tracing and visualization module. The method includes the following steps: Step 1: Task complexity assessment and collaboration mode allocation; Step 2: Parallel processing and dynamic collaboration of two intelligent analysts; Step 3: Consistency check and arbitration triggering; Step 4: Arbitrator adjudication and weight integration; Step 5: Human expert correction and weight optimization feedback; Step 6: Decision tracing and weight visualization. This invention enables more accurate decision optimization, significantly improves the professionalism and accuracy of decision-making, and possesses the ability to proactively identify and prevent potential problems.
Owner:HARBIN INST OF TECH