Dynamic Energy Detection Threshold Adjustment for Wireless Interference
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Solution Overview
Problem
Current wireless communication systems use a static energy detection (ED) threshold, which leads to conservative transmission practices, resulting in underutilization of spectrum capacity, high latency, high jitter, and low throughput due to excessive interference avoidance.
Innovation Solution
Implementing a dynamic adjustment of transmission output power and the accompanying ED threshold on a per-data packet basis, considering factors like packet type and channel conditions, to allow concurrent operations even in the presence of interference that would exceed static ED thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static energy detection (ED) threshold is used to avoid interference, then transmission reliability is improved, but spectral efficiency deteriorates and latency increases
Solution Approach 1:
The patent applies dynamics by transitioning from a static ED threshold to a dynamic ED threshold that adapts to current channel conditions. The ED threshold is adjusted based on measured interference levels and transmission power, allowing the system to optimize between reliability and spectral efficiency in real-time rather than being constrained by a fixed threshold value.
Solution Approach 2:
The patent implements parameter changes by modifying the ED threshold value dynamically based on channel conditions, transmission power levels, and interference measurements. This allows the system to change the detection sensitivity parameter adaptively, improving spectral efficiency while maintaining adequate reliability through condition-based parameter adjustment.
2Reliability
If a static energy detection (ED) threshold is used to avoid interference, then transmission reliability is improved, but latency increases
Solution Approach 1:
The dynamic ED threshold adjustment enables the system to respond quickly to changing channel conditions, reducing unnecessary transmission deferrals caused by overly conservative static thresholds. This dynamic adaptation reduces latency by allowing transmissions to proceed when conditions permit, while still maintaining reliability through continuous monitoring and adjustment.
3Productivity
If transmission power is increased to improve throughput, then spectral efficiency is improved, but interference to other devices increases
Solution Approach 1:
The patent implements feedback by continuously measuring the actual interference caused by transmissions and using this information to adjust future transmission power levels and ED thresholds. This closed-loop feedback mechanism allows the system to optimize throughput while controlling interference, as transmission parameters are adjusted based on observed effects on the channel.
Solution Approach 2:
The system dynamically changes transmission power parameters based on channel conditions and measured interference levels. By adjusting the transmission power parameter adaptively rather than using a fixed high power level, the system achieves improved throughput when conditions allow while minimizing interference generation in congested scenarios.
4Device complexity
If a static energy detection (ED) threshold is used, then device complexity is reduced, but spectral efficiency deteriorates
Solution Approach 1:
The patent applies self-service by implementing automatic ED threshold adjustment based on measured channel conditions and transmission parameters. The system serves itself by continuously monitoring the environment and autonomously adapting the ED threshold without requiring complex external configuration or manual intervention, thereby improving spectral efficiency while keeping the control mechanism relatively simple.
Data Source
AI summary
Techniques are disclosed for dynamically adjusting transmission parameters such as transmission output power and the energy detection (ED) threshold (TH) utilized by wireless devices to prevent collision and interference between different device transmissions. The techniques include dynamically adjusting the transmission parameters based upon various scenarios or conditions. The techniques include dynamically adjusting the transmission parameters on a per-packet basis, depending upon the particular type of packet, and/or considering other type of communication parameters.