Remote Antenna Unit Performance Optimization via Data Channel

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Solution Overview

Problem

Distributed antenna systems (DAS) lack the ability to monitor and optimize network performance due to a lack of information about user equipment within their coverage area, leading to suboptimal signal quality and service issues for subscribers.

Innovation Solution

A system comprising a remote antenna unit with transceivers for cellular and non-cellular services, a combiner/splitter, and a performance data collector that aggregates and correlates data from user equipment to optimize network performance by using the management channel for data transmission and analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If a distributed antenna system provides only physical layer signal distribution, then device complexity is reduced and ease of manufacture is improved, but the system loses the ability to monitor and optimize network performance

Engineering Contradiction:
Improveease of manufactureVSAvoidloss of information
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent introduces a performance data collector as an intermediary component that gathers network performance data from user equipment through the distributed antenna system. This collector acts as a mediator between the physical layer DAS and the network optimization functions, allowing the system to maintain its simple physical layer architecture while still acquiring valuable performance information through this intermediate data collection layer.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If the distributed antenna system remains a simple physical layer infrastructure, then device complexity is minimized, but the system cannot provide information about user equipment performance

Engineering Contradiction:
Improvedevice complexityVSAvoidmeasurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent implements self-service by having user equipment automatically report their own performance data (signal strength, quality metrics, location) to the performance data collector. This eliminates the need for complex monitoring infrastructure within the DAS itself, keeping device complexity low while still achieving precise measurement of user equipment performance through the equipment's own self-reported data.

Inventive Principle:
Principle #25Self-service

3Device complexity

If no performance monitoring is implemented, then the system operates with minimal complexity, but network optimization and service quality improvement cannot be achieved

Engineering Contradiction:
Improvedevice complexityVSAvoidproductivity
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent establishes a feedback loop where performance data is collected from user equipment, analyzed by the performance data collector, and used to generate optimization recommendations. This feedback mechanism enables continuous network optimization and service quality improvement without requiring complex real-time control systems, maintaining relatively simple device architecture while achieving productive optimization outcomes.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10009094B2Optimizing remote antenna unit performance using an alternative data channel
Publication Date: 2018.06.26 ANI ACQUISITION SUB LLC
  • US10009094B2 patent drawing
  • US10009094B2 patent drawing
  • US10009094B2 patent drawing

AI summary

A method and system for monitoring and optimizing a network may include configuring a remote antenna unit with a first transceiver for uplinking and downlinking a signal of a cellular service and with a second transceiver for uplinking and downlinking of the signal of at least one of a Bluetooth or Wi-Fi or Zigbee service. Performance data is collected from at least one user equipment configured for connecting to the remote antenna unit. The collected performance data is routed to a performance data collector configured to aggregate the performance data. The aggregated performance data is correlated. The network is optimized based on the correlated performance data.