Adaptive Interference Mitigation for Communication Nodes
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Solution Overview
Problem
Communication systems face performance degradation due to interference from unexpected wireless sources, leading to lower throughput, dropped calls, and traffic congestion, which existing solutions like adding more communication nodes or antenna steering techniques do not adequately address.
Innovation Solution
A system and method that utilize a processor to measure signals and noise levels, determine Signal to Interference plus Noise Ratio (SINR) measurements, and initiate corrective actions to improve performance by identifying and mitigating interference signals using adaptive inter-cell interference thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If more communication nodes are added to address interference issues, then network coverage and capacity are improved, but system complexity and cost increase
Solution Approach 1:
The system continuously monitors SINR measurements and interference levels, using this feedback to dynamically adjust communication parameters and activate corrective actions when interference thresholds are exceeded, enabling adaptive interference management without adding infrastructure
Solution Approach 2:
The system changes communication parameters such as power levels, modulation schemes, and resource allocation based on measured SINR and interference conditions, optimizing performance dynamically without requiring additional communication nodes
2Reliability
If antenna steering techniques are used to avoid interferers, then signal quality is improved, but system complexity and adaptability are reduced
Solution Approach 1:
The system dynamically adjusts communication parameters including power levels, modulation schemes, and resource allocation based on real-time SINR measurements and interference conditions, enabling flexible adaptation to changing environments without fixed antenna steering configurations
Solution Approach 2:
The system segments the interference mitigation approach into multiple independent corrective actions that can be selectively applied based on specific interference conditions, allowing granular adaptation rather than monolithic antenna steering
3Measurement precision
If interference mitigation measures are implemented, then SINR measurements are improved, but processing complexity and energy consumption increase
Solution Approach 1:
The system applies interference mitigation selectively based on measured conditions, activating corrective actions only when SINR falls below thresholds or interference is detected, avoiding continuous full-scale processing and reducing energy consumption while maintaining measurement precision
Data Source
AI summary
A system that incorporates aspects of the subject disclosure may perform operations including, for example, obtaining performance measurements, identifying a performance measurement from the performance measurements that is below performance threshold and, in turn, initiating corrective action to improve the performance measurement of an affected network element falling below the performance threshold. The performance measurements can be determined from measurements associated with signals generated by communication devices, noise levels in a spectral portion used by communication devices to transmit the signals, and interference signals exceeding an adaptive inter-cell interference threshold. Other embodiments are disclosed.