DOCSIS Backhaul Scheduling for Wireless Base Stations
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Solution Overview
Problem
Current DOCSIS backhaul systems face congestion and increased latency due to the sharing of resources among multiple wireless base stations and devices, leading to reduced data throughput and user experience, especially in congested areas, as existing protocols lack higher-level visibility into the presence and configuration of wireless base stations and client devices.
Innovation Solution
A method and apparatus for enhanced scheduling and coordination between wireless base stations and their wireline backhaul, involving data collection on configuration aspects such as attached devices and geographic location, to dynamically allocate resources and prioritize RF channels, using a CMTS to adjust weightings and scheduling based on the specific needs of each base station and modem, thereby optimizing resource allocation across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple wireless base stations share common backhaul resources, then network coverage and service capacity are improved, but backhaul congestion and latency increase
Solution Approach 1:
The patent implements differentiated quality of service by assigning different weightings to various base stations based on their specific needs and performance characteristics. Each base station receives customized resource allocation rather than uniform treatment, allowing high-priority stations to obtain more backhaul resources while maintaining overall network coverage.
Solution Approach 2:
The system dynamically adjusts scheduling parameters such as weighting factors and resource allocation ratios based on real-time network conditions, base station performance metrics, and traffic demands. This enables the network to adapt resource distribution without changing the physical infrastructure, resolving the contradiction between coverage expansion and throughput maintenance.
2Device complexity
If existing DOCSIS backhaul protocols are used without modification, then system simplicity is maintained, but visibility into wireless base station configuration and device presence is lost
Solution Approach 1:
The patent introduces an intermediary scheduling entity that sits between the DOCSIS backhaul protocol and the wireless base stations. This intermediary collects configuration information from base stations and device presence data, then uses this information to make informed scheduling decisions without requiring modifications to the underlying DOCSIS protocol structure.
Solution Approach 2:
The scheduling entity performs multiple functions including information collection, analysis, and resource allocation using a unified mechanism. It handles both the visibility requirement for base station configuration and the resource allocation task through a single multi-functional component, avoiding protocol complexity while gaining necessary information.
3Ease of operation
If static resource allocation is used in backhaul systems, then scheduling simplicity is maintained, but network efficiency and adaptability to varying demands decrease
Solution Approach 1:
The patent implements dynamic resource allocation where the scheduling entity continuously adjusts resource distribution based on real-time network conditions, base station performance, and traffic patterns. The weighting factors and allocation ratios are updated dynamically rather than remaining static, enabling the system to adapt to varying demands while maintaining operational simplicity through automated control.
Data Source
AI summary
Methods and apparatus for enhancing performance of a wireline communication network backhaul for wireless nodes based on data traffic and node characterization. In one embodiment, the node comprises a small-cell or other wireless base station (e.g., one utilizing unlicensed or quasi-licensed spectrum such as CBRS or C-Band) that is backhauled by a DOCSIS system within a managed HFC network, and the methods and apparatus utilize such factors as traffic load, geographic or topological location, node technology type, and user device profile for each node to determine scheduling of traffic over the wireline transmission medium used for the delivery of services. In another embodiment, the foregoing factors can be weighted for further determination related to an assignment of the time slots or other resources for the delivery of services.