Cognitive Radio Sensing Control via Channel State Adaptation
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Solution Overview
Problem
Current cognitive radio communication systems lack efficient control mechanisms for sensing operations, leading to unnecessary frequency sensing in secondary systems when primary system channel occupancy states are stable and inadequate sensing when channel changes are frequent.
Innovation Solution
A cognitive radio communication apparatus and method that adaptively controls the sensing period and number of sensing nodes based on the change pattern of the primary system's channel occupancy state, utilizing channel state information to optimize sensing operations and prevent interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the secondary system frequently performs sensing operations to detect channel changes, then the reliability of detecting primary system signals is improved, but the energy consumption and system complexity increase
Solution Approach 1:
The sensing period is dynamically adjusted based on channel occupancy state. When the primary system frequently occupies the channel, the sensing period is shortened to improve detection reliability. When the channel is stable, the sensing period is extended to reduce energy consumption. This dynamic adaptation resolves the contradiction between reliable detection and energy efficiency.
Solution Approach 2:
The patent changes the sensing period parameter according to channel conditions. By monitoring channel occupancy patterns and adjusting the sensing period accordingly, the system achieves high detection reliability when needed while minimizing energy consumption during stable periods.
2Adaptability or versatility
If the secondary system performs frequent sensing operations to adapt to channel changes, then the adaptability to primary system activity is improved, but the productivity of data transmission decreases due to increased sensing overhead
Solution Approach 1:
The sensing period is made dynamic rather than fixed. The base station adjusts the sensing period based on observed channel occupancy patterns, allowing the system to be highly adaptable when the primary system is active while maintaining high productivity when the channel is stable and less monitoring is needed.
Solution Approach 2:
The system uses periodic sensing operations with variable periods. Instead of continuous sensing, the system performs sensing at periodic intervals that are adjusted based on channel conditions, balancing adaptability with productivity by reducing sensing overhead during stable periods.
3Measurement precision
If multiple sensing nodes are deployed to improve channel detection accuracy, then the measurement precision of channel occupancy state is improved, but the device complexity and coordination overhead increase
Solution Approach 1:
Multiple sensing nodes are merged into a coordinated system managed by a base station. The base station collects channel state information from multiple sensing nodes, processes the data centrally, and generates unified sensing control decisions. This combining approach improves measurement precision through multiple observations while managing complexity through centralized coordination.
Solution Approach 2:
The base station acts as an intermediary between multiple sensing nodes and the secondary system. It receives channel state information from sensing nodes, processes the data, and generates sensing control information. This intermediary structure improves detection accuracy by aggregating data from multiple nodes while reducing overall system complexity by centralizing the coordination function.
4Speed
If the sensing period is shortened to quickly detect primary system signals, then the speed of channel occupancy detection is improved, but the loss of time for data transmission increases due to more frequent sensing interruptions
Solution Approach 1:
The sensing period is dynamically adjusted based on channel conditions. When the primary system is actively using the channel, the sensing period is shortened to quickly detect signals and prevent interference. When the channel is stable or the primary system is inactive, the sensing period is extended to reduce sensing interruptions and maximize data transmission time.
Solution Approach 2:
The system changes the sensing period parameter according to channel occupancy patterns. By monitoring whether the primary system is actively transmitting and adjusting the sensing period accordingly, the system achieves fast detection when needed while minimizing time loss for data transmission during stable periods.
Data Source
AI summary
A cognitive radio communication apparatus and method to control a sensing operation. The cognitive radio communication apparatus includes an information receiver to receive channel state information associated with a channel occupancy state of a primary system from at least one sensing node of a secondary system; a sensing control unit to control a sensing period of the at least one sensing node according to a change pattern of the channel occupancy state, based on the channel state information; and a control information transmitter to transmit control information associated with the controlled sensing period to at least one member node of the secondary system.