Demand-Based Bonded Upstream Channel Assignment
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Solution Overview
Problem
Current cable systems face inefficiencies in bandwidth and processing resource management, particularly in hybrid fiber-coax (HFC) networks, as they often maintain and allocate upstream channels regardless of demand, leading to suboptimal utilization of bandwidth and resources.
Innovation Solution
Implementing a demand-based bonded upstream channel assignment system, where the Cable Modem Termination System (CMTS) monitors and allocates additional bonded upstream channels only when needed, de-allocating them when bandwidth decreases, optimizing bandwidth and resource usage across Customer Premise Equipment (CPE) devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cable systems maintain and allocate upstream channels regardless of demand, then channel availability is ensured, but bandwidth and processing resources are wasted
Solution Approach 1:
The system dynamically adjusts upstream channel allocation based on real-time demand conditions. The CMTS monitors bandwidth requests from CPE devices and actively adds or removes upstream channels from the bonded group, transforming the static channel allocation into a dynamic resource that adapts to changing traffic requirements, thereby eliminating wasted resources while maintaining service reliability
Solution Approach 2:
The system changes the operational parameters of upstream channels by modifying the bonded upstream channel configuration. When demand increases, the CMTS adds channels to the bonded group; when demand decreases, it removes channels. This parameter change approach allows the system to optimize resource utilization while ensuring channel availability when needed
2Quantity of substance
If multiple bonded upstream channels are allocated to CPE devices, then upstream bandwidth capacity is increased, but system complexity and processing overhead increase
Solution Approach 1:
The system segments the upstream channel allocation process into distinct phases: initialization where CPE devices are provisioned with potential upstream channels, and operational phases where channels are dynamically added or removed from the bonded group based on demand. This segmentation allows the system to maintain high bandwidth capacity potential while reducing processing overhead during low-demand periods
Solution Approach 2:
The bonded upstream channel configuration is made dynamic rather than static. The CMTS actively manages the composition of bonded channel groups, adding channels when bandwidth capacity is needed and removing them when demand decreases, thereby optimizing the balance between upstream bandwidth capacity and system complexity
3Reliability
If periodic maintenance is performed on all provisioned upstream channels, then channel reliability is maintained, but processing resources are consumed even when channels are not in use
Solution Approach 1:
The periodic maintenance process is made dynamic by conditioning it on the actual usage status of upstream channels. The CMTS performs maintenance operations only on channels that are currently active and in use, rather than on all provisioned channels. This dynamic approach maintains channel reliability for active channels while conserving processing resources by excluding inactive channels from maintenance operations
Data Source
AI summary
Methods, systems, and apparatuses can provide improved bandwidth and reduction in processing resources in a cable system using bonded upstream channels. Physical or environmental changes can occur in the HFC network effecting communication performance on one or more upstream channels. For optimal HFC network performance periodic measurements and adjustments are made reducing HFC network bandwidth and consume processing resources. This periodic maintenance is performed even if the communication service is not using the additional upstream bandwidth provided through upstream channel bonding. Demand-based bonded upstream channel allocation and de-allocation provides additional upstream bandwidth when required while optimizing HFC network performance and reducing processing resources through the reduction of periodic measurements and adjustments on the HFC network.