Time-Varying EIRP Masks for Dynamic Spectrum Adaptation
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Solution Overview
Problem
Existing EIRP masks in wireless communication systems are static, failing to adapt to dynamic factors such as location, time, and network conditions, leading to inefficient spectrum usage and potential interference.
Innovation Solution
Implementing time-varying EIRP masks that dynamically adjust based on factors like time, location, and network conditions, allowing wireless devices to optimize transmission power according to current needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static EIRP masks are used, then device complexity is reduced, but spectrum efficiency deteriorates due to inability to adapt to dynamic conditions
Solution Approach 1:
The patent implements time-varying EIRP masks that dynamically adjust power spectral density limits based on current time, frequency, and network conditions. Instead of fixed static masks, the system continuously updates EIRP constraints to match real-time spectral occupancy and interference conditions, enabling adaptation to changing environments while maintaining manageable complexity through structured update mechanisms.
Solution Approach 2:
The system changes the parameters of EIRP masks over time by updating power spectral density limits based on measured spectral occupancy, interference levels, and network conditions. The masks transition from static fixed values to dynamic time-varying parameters that reflect current operational conditions, allowing the system to optimize spectrum usage without requiring complete redesign of the power control mechanism.
2Object-generated harmful factors
If static EIRP masks are used, then implementation simplicity is maintained, but interference increases due to lack of dynamic adjustment
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors spectral occupancy, interference levels, and network conditions, then uses this information to dynamically adjust EIRP mask parameters. The feedback loop measures actual spectral usage and interference impact, then updates power spectral density limits accordingly, reducing harmful interference while maintaining operational simplicity through automated closed-loop control.
Solution Approach 2:
The system performs self-service by automatically adjusting its own EIRP masks based on measured spectral conditions and interference levels. Network entities autonomously update their power spectral density constraints without requiring manual reconfiguration, enabling the system to self-optimize interference management while maintaining ease of operation through automated decision-making algorithms.
3Productivity
If time-varying EIRP masks are implemented, then spectrum efficiency improves through dynamic optimization, but measurement and control difficulty increases
Solution Approach 1:
The patent segments the EIRP mask into multiple independent parameters including power spectral density limits, time variation components, and frequency-specific constraints. This segmentation allows the system to measure and control each parameter separately using standardized methods, reducing the overall measurement difficulty while enabling sophisticated time-varying optimization that improves spectrum efficiency through granular control.
Data Source
AI summary
Aspects of the disclosure are directed to a first network entity configured for wireless communication. In some examples, the first network entity includes one or more memories, individually or in combination, having instructions, and one or more processors, individually or in combination, configured to execute the instructions and cause the first network entity to output, for transmission to a second network entity, a first message configuring the second network entity with effective isotropic radiated power (EIRP) metrics to be applied to wireless communications between the second network entity and one or more user equipments (UEs).


