Reconfigurable Distributed Antenna Layout for Adaptive Radio Capacity
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Solution Overview
Problem
Existing Distributed Antenna Systems (DAS) face challenges in efficiently managing radio resources, adapting to varying subscriber loads, and providing accurate indoor location determination, leading to suboptimal network performance and high costs.
Innovation Solution
The proposed Reconfigurable Distributed Antenna System employs software-defined radio technology, flexible simulcast capabilities, and integrated Pilot Beacons to dynamically manage radio resources, optimize network performance, and enhance indoor location accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If many low-power high-capacity base stations are deployed throughout the facility to accommodate maximum subscriber loading, then quality of service is improved, but total life cycle cost increases due to wasted capacity during low-usage periods
Solution Approach 1:
The patent implements dynamic reconfiguration of DAS remote units through software-defined radio technology, allowing the system to adapt radio resource allocation based on real-time subscriber load conditions. This enables capacity to be dynamically adjusted between high-usage and low-usage periods, resolving the contradiction between maintaining quality of service and avoiding wasted capacity.
Solution Approach 2:
The system changes operational parameters of remote units based on usage conditions, including adjusting radio frequency assignments, power levels, and active channel configurations. These parameter changes allow the same physical infrastructure to serve different capacity requirements without permanent over-provisioning, reducing wasted capacity while maintaining service quality.
2Ease of manufacture
If a fixed DAS configuration is deployed during the design process, then initial setup is simplified, but the system cannot adapt to frequent re-arrangements and re-organizations of enterprise groups, requiring additional deployment staff and resources
Solution Approach 1:
The patent implements dynamic reconfiguration of DAS remote units through software-defined radio technology, allowing the system to adapt radio resource allocation based on real-time subscriber load conditions. This enables capacity to be dynamically adjusted between high-usage and low-usage periods, resolving the contradiction between maintaining quality of service and avoiding wasted capacity.
Solution Approach 2:
The system designs remote units with multi-functional capabilities that can serve different enterprise groups and frequency assignments through software configuration rather than hardwired connections. This universal design allows the same physical infrastructure to adapt to various organizational arrangements without requiring additional deployment staff or resources.
3Adaptability or versatility
If manual reconfiguration of DAS remote units is performed to adapt to changing enterprise needs, then adaptability is improved, but deployment staff and contract resources with expertise are required
Solution Approach 1:
The patent implements automated self-service capabilities through software-defined radio technology that enables remote units to reconfigure themselves based on predefined policies and real-time conditions. This automation eliminates the need for manual intervention by deployment staff while maintaining high adaptability, as the system autonomously adjusts radio resources, frequency assignments, and channel configurations in response to changing enterprise needs.
4Area of stationary object
If conventional DAS with centralized base stations is deployed, then network coverage is improved, but radio resource efficiency decreases due to inability to dynamically manage resources across distributed locations
Solution Approach 1:
The patent segments the centralized base station functionality into distributed remote units that can independently manage local radio resources while maintaining coordination through the control server. This segmentation allows each remote unit to efficiently serve its local area while the overall system maintains broad coverage, resolving the contradiction between extensive coverage and resource efficiency by enabling localized resource optimization.
Solution Approach 2:
The system implements feedback mechanisms where remote units report local conditions (subscriber load, signal quality, resource utilization) to the control server, which then adjusts resource allocation accordingly. This closed-loop feedback enables dynamic optimization of radio resources across the distributed network, improving overall productivity while maintaining extensive coverage through coordinated resource management.
Data Source
AI summary
The present disclosure is a novel utility of a software defined radio (SDR) based Distributed Antenna System (DAS) that is field reconfigurable and support multi-modulation schemes (modulation-independent), multi-carriers, multi-frequency bands and multi-channels. The present disclosure enables a high degree of flexibility to manage, control, enhance, facilitate the usage and performance of a distributed wireless network such as flexible simulcast, automatic traffic load-balancing, network and radio resource optimization, network calibration, autonomous/assisted commissioning, carrier pooling, automatic frequency selection, frequency carrier placement, traffic monitoring, traffic tagging, pilot beacon, etc.