Uplink Controlled Resource Allocation for Distributed Antenna Systems

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Solution Overview

Problem

Current digital distributed antenna systems (DAS) and cloud radio access networks (C-RAN) face challenges in efficiently managing bandwidth due to the need to transport multiple frequency bands, especially with the introduction of Citizens Broadband Radio Service (CBRS) and 5G, which requires higher frequency spectrum and increased data rates, leading to higher costs and path loss.

Innovation Solution

Implementing detectors at radiating points to evaluate uplink signals and activate only needed services, using techniques like RSSI detection or digital signal decoding to determine mobile device presence and bandwidth utilization, allowing for efficient bandwidth allocation and deactivating unnecessary services to reduce overall system costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple frequency bands are transported over a single fiber to achieve frequency agnostic coverage, then system versatility and coverage are improved, but bandwidth requirements and system costs increase

Engineering Contradiction:
Improvefrequency agnostic coverageVSAvoidbandwidth
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system dynamically activates or deactivates frequency bands based on real-time traffic conditions at each radiating point. The detector monitors uplink traffic and sends control signals to the central unit, which then adjusts the activated bands accordingly. This allows the system to adapt bandwidth usage to actual demand rather than maintaining all bands active simultaneously.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

Different frequency bands are selectively activated at different radiating points based on local traffic conditions. Each radiating point has a detector that monitors its specific coverage area, and the system activates only the bands needed for that particular location, allowing for localized optimization rather than uniform activation across all points.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If high data rates are implemented to support CBRS and 5G services, then service capability is improved, but path loss and system costs increase

Engineering Contradiction:
Improveservice capabilityVSAvoidpath loss
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system dynamically adjusts which frequency bands are active based on real-time traffic monitoring. By deactivating bands with no traffic and activating only necessary bands, the system reduces overall path loss and energy consumption while maintaining the capability to support high-data-rate services like CBRS and 5G when needed.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the operational parameters of frequency band activation based on traffic conditions. When traffic patterns indicate need for high-data-rate services, the system activates appropriate frequency bands; when traffic is low or different, it adjusts the active bands accordingly, optimizing the balance between service capability and energy efficiency.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If all services are activated at all radiating points to ensure comprehensive coverage, then coverage reliability is improved, but system complexity and costs increase

Engineering Contradiction:
Improvecoverage reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Each radiating point includes a detector that continuously monitors uplink traffic conditions and provides feedback to the central unit. Based on this feedback, the system automatically adjusts which services are activated at each radiating point, ensuring reliable coverage where needed while avoiding unnecessary complexity where traffic conditions do not require full service activation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables self-service operation where radiating points automatically monitor their own traffic conditions and request activation of services based on local needs. This distributed decision-making reduces the complexity of centralized control while maintaining coverage reliability through local autonomy.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11316567B2Uplink controlled resource allocation for distributed antenna systems and C-RAN systems
Publication Date: 2022.04.26 ANDREW WIRELESS SYSTEMS GMBH(DE)
  • US11316567B2 patent drawing
  • US11316567B2 patent drawing
  • US11316567B2 patent drawing

AI summary

In one example, a system includes a central unit and a plurality of radiating points communicatively coupled to the central unit and located remotely from the central unit. Each respective radiating point includes a detector configured to evaluate uplink signals received from a coverage area of the respective radiating point. The detector is further configured to determine which services of a plurality of services supported by the system are needed and which services of the plurality of services supported by the system are not needed based on the evaluation of the uplink signals. The detector is further configured to send a request, to the central unit, to activate a service determined to be needed.