Wireless Distribution System Channel Grouping for Processing Load

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Solution Overview

Problem

Wireless distribution systems (WDS) face inefficiencies in resource utilization due to underutilization of processing resources in central and remote units, leading to suboptimal performance in delivering digital data services, especially in areas with poor cellular coverage.

Innovation Solution

The system allocates digital channels into spectrum chunks based on determined processing resource utilization, grouping channels at either the central unit or remote units to optimize resource usage, thereby reducing processing demands and enhancing overall performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If digital channels are processed individually at both central unit and remote units, then processing flexibility is maintained, but processing resources are underutilized and system throughput is limited

Engineering Contradiction:
Improvesystem throughputVSAvoidprocessing resource utilization
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent combines multiple discrete digital channels into spectrum chunks, merging processing operations at the central unit and remote units. This consolidation allows processing resources to be pooled and shared across multiple channels, eliminating the underutilization that occurs when each channel is processed independently. The spectrum chunking approach enables efficient resource sharing while maintaining the ability to serve multiple channels simultaneously.

Inventive Principle:
Principle #5Merging (Combining)

2Productivity

If more processing resources are allocated to each unit, then system capacity increases, but resource utilization efficiency decreases due to underutilization

Engineering Contradiction:
Improvesystem capacityVSAvoidresource utilization efficiency
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent implements multi-functionality by designing processing resources at both central and remote units to handle multiple spectrum chunks simultaneously. Each processing resource can be dynamically allocated to different channels based on demand, allowing the same hardware resources to serve multiple functions and channels. This universal approach ensures high capacity while maintaining efficient utilization, as resources are shared across the entire system rather than being dedicated to single channels.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Ease of operation

If channels are grouped into spectrum chunks at central unit only, then remote unit processing load is reduced, but central unit processing demands increase

Engineering Contradiction:
Improveremote unit processing loadVSAvoidcentral unit processing demands
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent segments the spectrum chunking operation between central and remote units based on their respective capabilities and roles. The central unit performs initial spectrum chunking and resource allocation decisions, while remote units perform localized processing of assigned spectrum chunks. This segmentation distributes the processing burden appropriately, reducing remote unit complexity while maintaining centralized control over resource optimization.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10555312B2Allocating digital channels associated with communications signals into assigned spectrum chunks in a wireless distribution system (WDS) based on determined utilization of processing resources
Publication Date: 2020.02.04 ANI ACQUISITION SUB LLC
  • US10555312B2 patent drawing
  • US10555312B2 patent drawing
  • US10555312B2 patent drawing

AI summary

Embodiments of the disclosure relate to allocating digital channels into spectrum chunks in a wireless distribution system (WDS). In a WDS, a central unit is configured to communicate downlink and uplink communications signals with a plurality of remote units over a plurality of downlink and uplink communication links. In one aspect, discrete downlink channels in the downlink communications signals are grouped into downlink spectrum chunks at the central unit when the processing circuitry at the central unit is underutilized. In another aspect, discrete uplink channels in the uplink communications signals are grouped into uplink spectrum chunks at the remote units when the processing circuitries at the remote units are underutilized. By grouping discrete downlink channels into downlink spectrum chunks and/or grouping uplink discrete channels into uplink spectrum chunks, it is possible to optimize system resource utilization in the WDS, thus providing enhanced overall performance in the WDS.