Wireless Device Adaptive Parameter Selection
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Solution Overview
Problem
Current cognitive wireless communication technologies lack the ability to optimally select communication parameters based on the surrounding situation, especially in dynamic environments like vehicular networks, where adaptive changes are necessary to maintain communication performance.
Innovation Solution
A wireless communication device equipped with a learning database that determines appropriate communication parameters by analyzing sensor data from various sources, including GPS, speed sensors, and cameras, to optimize communication performance based on the surrounding context, and also considers the situation of communication partners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cognitive wireless communication autonomously detects and uses available frequencies, then frequency use efficiency is enhanced, but the ability to determine which part of detected available frequencies to use is lacking
Solution Approach 1:
The system establishes a feedback loop where communication results are fed back to the learning database. The database stores associations between surrounding situations, communication parameters, and communication performance. This feedback mechanism enables the system to learn from past communications and improve frequency selection decisions over time, resolving the contradiction between autonomous frequency detection and the ability to intelligently select specific frequencies.
Solution Approach 2:
The learning database pre-stores communication performance data for various surrounding situations and communication parameters before actual communication occurs. By having this knowledge prepared in advance through accumulated learning, the system can quickly determine appropriate frequency selections without real-time calculation delays, enhancing both efficiency and adaptability.
2Reliability
If communication parameters are adaptively changed based on limited surrounding situation information, then communication performance is maintained in dynamic environments, but scalability for optimizing more communication parameters is lacking
Solution Approach 1:
The learning database is designed with a universal structure that can store and process multiple types of communication parameters (frequency, power, modulation scheme, coding rate, etc.) along with their corresponding communication performance data. This multi-functional database structure allows the system to scale from optimizing a few parameters to optimizing many parameters without requiring fundamental system changes, thereby achieving both reliability and scalability.
Solution Approach 2:
The system systematically varies communication parameters in the learning database to capture their effects on communication performance under different surrounding situations. By pre-characterizing how multiple parameters affect performance across various conditions, the system can adaptively optimize any combination of parameters when deployed, achieving scalable parameter optimization while maintaining reliable communication performance.
Data Source
AI summary
A wireless communication device capable of changing a communication parameter to be used according to a surrounding situation includes a learning database that stores, in association with each other, the surrounding situation of the wireless communication device and a communication performance in a case where communication is performed by using a given communication parameter, a plurality of sensors, surrounding situation determination unit configured to determine the surrounding situation of the wireless communication device from information obtained from the plurality of sensors, communication parameter candidate determination unit configured to refer to the learning database to determine candidates for the communication parameter that are appropriate in the determined surrounding situation, communication parameter determination unit configured to determine the communication parameter used in communication from among the candidates determined by the communication parameter candidate determination unit based on the requirement of the communication, and wireless communication unit configured to perform communication by using the communication parameter determined by the communication parameter determination unit. With this, it is possible to select an appropriate communication parameter according to the surrounding situation of the wireless communication device.