Self-Optimizing Network Entity for DAS-RBS Latency and Noise Compensation
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Solution Overview
Problem
Optimizing distributed antenna systems (DAS) and radio base stations (RBS) separately is challenging due to their independent operation, leading to network delays and inefficiencies.
Innovation Solution
A self-optimizing network (SON) entity communicatively coupled to the DAS and RBS, which measures radio frequency parameters to adjust operations and management parameters, such as uplink gain, branch delay, and power levels, to optimize communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If DAS and RBS are optimized separately as independent units, then each unit can be configured and managed independently, but network delays increase and overall system efficiency decreases
Solution Approach 1:
The patent combines separate optimization of DAS and RBS into a unified joint optimization process. The system integrates parameters from both DAS (remote unit signals, head-end unit signals) and RBS (radio base station signals) into a single optimization framework, allowing simultaneous adjustment of both systems to eliminate network delays while maintaining independent configurability through coordinated control.
Solution Approach 2:
The patent introduces a joint optimization entity that acts as an intermediary between DAS and RBS. This entity receives signals from both systems, performs coordinated optimization calculations, and adjusts parameters across both DAS and RBS to achieve optimal network performance without requiring direct integration of the original independent systems.
2Device complexity
If separate optimization of DAS and RBS is performed, then system complexity is reduced and easier to implement, but noise and latency cannot be effectively compensated
Solution Approach 1:
The patent merges noise compensation and latency correction functions into a joint optimization process that simultaneously considers both DAS and RBS parameters. By integrating the optimization of both systems together, the patent achieves effective noise floor compensation and latency correction that would be impossible when optimizing each system separately, while maintaining manageable system complexity through unified control algorithms.
3Productivity
If joint optimization is implemented, then network delays are reduced and system efficiency improves, but system complexity and difficulty of implementation increase
Solution Approach 1:
The patent employs a joint optimization entity as an intermediary that manages the complexity of coordinating DAS and RBS optimization. This intermediary receives input signals from both systems, performs the complex joint optimization calculations, and outputs adjusted parameters to both DAS and RBS, thereby achieving high network efficiency while containing implementation complexity within the intermediary component.
4Ease of repair
If independent optimization is used, then each unit can be configured separately simplifying maintenance, but overall network performance and signal tuning are suboptimal
Solution Approach 1:
The patent merges the optimization functions of DAS and RBS into a unified system that maintains the ability to independently configure and maintain each unit. The joint optimization entity coordinates adjustments across both systems while allowing individual units to be accessed, configured, and maintained separately, thus preserving ease of repair while achieving superior overall network performance through coordinated optimization.
Data Source
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AI summary
Certain features relate to systems and methods for optimizing the radio frequency characteristics of signals transmitted between a radio base station (RBS) and a distributed antenna system (DAS). A self-optimizing network (SON) entity can determine adjustments to radio frequency operations and management parameters at the RBS based on radio frequency parameters measured by a measurement and configuration module at the DAS. Adjustments to radio frequency operations and management parameters can include adjustments configured to compensate for signal latency caused by the DAS. Adjustments to radio frequency operations and management parameters can also include adjustments to signal gain due to noise rise caused by the DAS. The SON entity can also measure nominal receive power levels for the RBS for purposes of open loop power control.