Coexistence Manager for Multi-Radio Interference Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in managing radio coexistence, leading to interference among multiple radios operating concurrently, which degrades performance and affects operational efficiency.
Innovation Solution
A coexistence manager entity receives inputs from multiple radios, determines controls based on a database of performance versus operating states, and adjusts configurable parameters such as transmit power, frequency channels, and antenna settings to mitigate interference and optimize radio operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple radios operate concurrently without coordination, then device functionality and communication capabilities are improved, but interference between radios increases and performance degrades
Solution Approach 1:
A coexistence manager entity is introduced as an intermediary between multiple radios to coordinate their operations. The coexistence manager receives inputs from radios, determines appropriate controls, and sends control signals back to radios to mitigate interference while maintaining functionality.
Solution Approach 2:
The system uses a database of pre-stored performance information for different radio combinations and operating states. This pre-computed data allows the coexistence manager to quickly determine optimal controls without real-time complex calculations, enabling proactive interference management.
2Reliability
If radio operating parameters are adjusted to mitigate interference, then radio coexistence performance is improved, but operational flexibility and configuration options are reduced
Solution Approach 1:
The system adjusts radio operating parameters such as transmit power, frequency channels, and antenna settings based on pre-stored performance data. By changing these parameters dynamically, the system optimizes radio coexistence while maintaining operational flexibility through the coexistence manager's control decisions.
3Reliability
If real-time interference mitigation control is implemented, then radio performance is improved, but system complexity and control overhead increase
Solution Approach 1:
Performance information for different radio combinations and operating states is pre-computed and stored in a database during system design or initialization. This eliminates the need for complex real-time calculations, reducing system complexity while maintaining effective interference mitigation.
Solution Approach 2:
The coexistence manager receives feedback inputs from radios about their operating states and interference conditions, then determines appropriate controls based on pre-stored performance data. This feedback loop enables adaptive control without requiring complex real-time analysis algorithms.
Data Source
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AI summary
Techniques for performing radio coexistence management to control operation of multiple radios to achieve good performance are described. In one design, an entity (e.g., a coexistence manager or a radio controller) may receive inputs from one or more radios among multiple radios operating concurrently. An input from a radio may indicate a planned operating state or planned activity of the radio in an upcoming time interval. The entity may determine controls for at least one radio based on the received inputs and a database of performance versus operating states to mitigate interference caused or observed by each of the at least one radio. The control for a radio may indicate a selected operating state or selected setting for at least one configurable parameter for the radio in the upcoming interval. The entity may send the controls to the at least one radio. Each radio may operate in accordance with its control.