Multi-Interferer Configuration Device for Wireless PHY-MAC Analysis
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Solution Overview
Problem
Conventional interference analysis methods for wireless communication systems fail to accurately model frequency interference across both PHY and MAC layers, leading to inadequate assessment of interference effects, especially when multiple interferers are present, resulting in insufficient consideration of actual interference environments and increased system complexity.
Innovation Solution
A device and method for configuring multiple interferers that model both PHY and MAC layers, using Markov chains and external network simulators to analyze frequency interference, with components such as protective distance calculation, interferer spatial distribution determination, PHY layer modeling, MAC layer modeling, and interferer signal generation to simulate interference effects across all relevant domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional interference analysis methods are used, then analysis simplicity is maintained, but measurement precision and reliability of interference effect assessment deteriorate
Solution Approach 1:
The interference analysis system is segmented into distinct functional modules: a configuration unit that sets interferer parameters (number of interferers, spatial distribution, transmission power), a signal generation unit that creates interferer signals, and an analysis unit that processes interference effects. This modular segmentation allows precise control over each aspect of interference modeling while maintaining manageable system complexity through organized functional decomposition.
Solution Approach 2:
The system creates simplified copies of actual interferer signals through configurable signal models that replicate key characteristics (power, spatial distribution, modulation) without requiring full complexity of real wireless signals. These copied signals enable accurate interference assessment while reducing computational burden compared to analyzing actual complex wireless environments.
2Reliability
If multiple interferers are modeled in both PHY and MAC layers, then reliability of interference analysis is improved, but device complexity increases
Solution Approach 1:
The dual-layer modeling approach is segmented into PHY layer configuration (signal characteristics, power, spatial distribution) and MAC layer configuration (transmission timing, packet structures, protocol behavior). Each layer is independently configurable and analyzable, allowing reliable comprehensive interference assessment while managing complexity through layered functional separation.
Solution Approach 2:
The system introduces configurable intermediate parameters that bridge PHY and MAC layers, such as transmission power settings that affect both physical signal characteristics and protocol-level transmission decisions. These intermediary parameters enable coordinated modeling across layers without requiring direct complex interactions, improving reliability while controlling complexity.
3Measurement precision
If comprehensive interference environment is considered, then measurement precision is improved, but loss of time in analysis increases
Solution Approach 1:
The system performs preliminary configuration of interferer parameters, spatial distributions, and signal characteristics before actual interference analysis. By pre-setting these parameters based on typical interference scenarios, the system reduces the time required for comprehensive analysis while maintaining measurement precision, as the complex environmental factors are already structured and ready for evaluation.
Data Source
AI summary
An approach is provided for configuring multiple interferers. An interference effect minimum protective distance is calculated in response to detection of an input of an interferer parameter. Physical (PHY) layer modeling is performed to individually apply a pathloss caused by a separation distance between an interferer node and a victim and apply a pathloss of each node to an attenuator and a transmitter amplifier in an HW manner. MAC layer modeling is performed to determine a transmission node and a transmission time using Markov chain or determine a transmission node and a transmission time using a result log file of an external MAC simulator and a transmission/reception time is reflected in an HW manner by turning ON/OFF a switch. Multiple correlated interferer signals are generated for analyzing an effect of frequency interference in view of both of PHY and MAC layers.