Variable Static Gain Power Allocation in Distributed Antenna Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing distributed antenna systems (DAS) face inefficiencies in power allocation, as they often rely on fixed power budgets, which can lead to suboptimal performance and coverage issues due to the limitations of static power allocation methods.
Innovation Solution
Implementing a power optimization sub-system that differentiates between downlink signals for static and variable gains, allowing for dynamic gain adjustment based on specified performance metrics, thereby optimizing power allocation across different signal paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static power allocation is used in DAS, then system simplicity is maintained, but power usage efficiency deteriorates
Solution Approach 1:
The patent implements dynamic power allocation by enabling remote units to adjust their power levels based on real-time performance metrics such as throughput requirements and channel conditions. This allows the system to transition from static to dynamic operation, optimizing power efficiency while maintaining manageable complexity through structured control mechanisms.
Solution Approach 2:
The system changes power allocation parameters dynamically based on performance metrics. Remote units receive target performance parameters from master units and adjust their transmit power accordingly, allowing the system to adapt to varying conditions while maintaining overall control and efficiency.
2Ease of operation
If fixed power budget is used, then system control is simplified, but coverage performance deteriorates
Solution Approach 1:
The patent enables each remote unit to independently adjust its power level based on local channel conditions and performance requirements, while master units maintain overall control through target parameter assignment. This localized adaptation improves coverage performance without significantly increasing system control complexity.
Solution Approach 2:
The system implements feedback mechanisms where remote units report performance metrics to master units, which then adjust target parameters accordingly. This closed-loop control ensures reliable coverage performance while maintaining simplified centralized control architecture.
3Use of energy by moving object
If variable gain is applied to all signals, then power optimization improves, but system complexity increases
Solution Approach 1:
The patent segments the signal processing into two parts: master units perform signal distribution and basic control functions, while remote units perform variable gain adjustment based on local conditions. This segmentation allows power optimization at the remote unit level without requiring complex variable gain control at all system points, thereby limiting the increase in overall system complexity.
Data Source
AI summary
Systems and methods are provided for optimizing power allocation in distributed antenna systems and other signal distribution systems using variable and static gains. A power optimization sub-system can receive downlink signals from one or more base stations. The power optimization sub-system can group the downlink signals into a first set of downlink signals for which a static gain is to be applied and a second set of downlink signals for which a variable gain is to be applied. The power optimization sub-system can determine a gain for at least some of the signals to which a variable gain is to be applied. The determined gain can be sufficient to achieve a target metric. The power optimization sub-system can apply the static gain to the first set of signals and apply the determined gain to the second set of signals.