Radio Downlink Power Compensation for Temperature and Traffic Load
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Solution Overview
Problem
Existing radio downlink power compensation methods fail to accurately account for self-heating due to fluctuating traffic loads, leading to inaccurate output power adjustments and degradation of key performance indicators in network operations.
Innovation Solution
Create a power compensation lookup table that considers a range of traffic loads and temperatures, using interpolation to determine accurate compensation values based on current temperature and traffic load data, thereby adapting the downlink power output to maintain accurate serving cell coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a traditional lookup table is created using fixed traffic load assumptions, then the table generation process is simple, but the power compensation accuracy deteriorates under varying traffic conditions
Solution Approach 1:
The patent transforms the static lookup table into a dynamic structure by introducing traffic load as a variable dimension. Instead of a single fixed lookup table, the system creates multiple lookup tables corresponding to different traffic load levels (e.g., light, moderate, heavy traffic), allowing the table selection to adapt dynamically to current operating conditions and thereby maintaining high power compensation accuracy across varying traffic scenarios.
Solution Approach 2:
The patent segments the single lookup table into multiple separate lookup tables, each associated with specific traffic load conditions. This segmentation allows each table to be optimized for its specific traffic scenario, improving overall accuracy. The system then selects the appropriate segmented table based on current traffic load measurements, resolving the contradiction between simplicity and accuracy.
2Device complexity
If the lookup table uses only temperature data, then the structure remains simple, but it fails to account for self-heating effects from traffic load variations
Solution Approach 1:
The patent adds another dimension to the lookup table structure by incorporating traffic load as a second variable alongside temperature. This dimensional expansion allows the system to model the interaction between temperature and traffic load-induced self-heating effects. The enhanced lookup table structure now requires two input parameters (temperature and traffic load) to determine the appropriate power compensation, thereby improving reliability while maintaining manageable complexity through systematic organization.
Solution Approach 2:
The patent introduces traffic load as an intermediary factor that mediates between the temperature sensor readings and the final power compensation calculation. By incorporating traffic load information, the system can adjust for self-heating effects that would otherwise be unaccounted for, leading to more accurate power output control while maintaining a structured and systematic approach.
3Ease of operation
If the radio uses fixed power compensation values, then the control mechanism is simple, but the serving cell coverage deteriorates under varying temperature and traffic conditions
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors both temperature and traffic load conditions, selects the appropriate lookup table based on these measurements, and applies the corresponding power compensation values. This closed-loop feedback system automatically adapts to changing environmental and operational conditions, maintaining optimal serving cell coverage without requiring complex manual intervention or fixed predetermined settings.
Data Source
AI summary
The technology described herein is directed towards determining (e.g., a base station's) radio downlink power output based on traffic load data and temperature data. The downlink power output can be a compensation value that modifies the radio's power output by adapting to dynamic traffic load and temperature changes. Using traffic load and temperature results in more accurate power compensation. In one implementation, the current (most-recent) traffic load data and temperature data are used to obtain bounding values from a table indexed by traffic load data intervals and temperature data intervals. The bounding values are interpolated to find a power compensation value. By considering the downlink traffic, good correlation is maintained between the radio internal temperature reading and the actual radio ambient temperature, resulting in a more accurate power compensation value for any combination of downlink traffic load and internal temperature reading. This results in improved serving cell coverage.