Dynamic Latency Control for Communication Networks
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Solution Overview
Problem
Existing approaches for latency control in wireless communication scenarios often fail to provide desirable performance, particularly for latency-sensitive services where the deviation between latency requirements and internal latency performance is not easily accommodated.
Innovation Solution
A method for dynamic latency control in communication networks, which involves identifying services with bounded deviation between latency requirements and internal network performance, and dynamically adjusting the network configuration to provide latencies below a maximum threshold, based on current traffic load and buffer sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing approaches for latency control are applied in wireless communication scenarios, then general network operation is maintained, but desirable latency performance for latency-sensitive services is not achieved
Solution Approach 1:
The patent applies local quality by implementing service-specific latency control configurations. Different services (e.g., URLLC, eMBB, mMTC) are assigned different latency budgets, scheduling priorities, and resource allocation strategies tailored to their specific requirements. This allows latency-sensitive services to receive optimized treatment while other services operate with standard configurations, resolving the contradiction between general network operation and service-specific optimization.
Solution Approach 2:
The patent implements dynamic latency control by continuously monitoring network conditions, service requirements, and latency performance metrics. The system dynamically adjusts scheduling parameters, resource allocations, and latency budgets in real-time based on current traffic patterns and service priorities. This dynamic adaptation enables the network to achieve desirable latency performance for latency-sensitive services while maintaining overall network operation flexibility.
2Reliability
If network configuration is dynamically adjusted for latency control, then latency variance and maximum latency are reduced, but network complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring latency budgets, scheduling parameters, and resource allocations for different service types before actual data transmission occurs. Service-specific profiles with predetermined latency requirements and control parameters are established in advance, allowing the network to quickly enforce latency control without complex real-time calculations. This reduces network control complexity while maintaining latency consistency.
Solution Approach 2:
The patent implements feedback mechanisms that monitor actual latency performance and compare it against target latency budgets. Based on this feedback, the system dynamically adjusts scheduling decisions and resource allocations to maintain latency consistency. The feedback loop provides continuous optimization without requiring complex centralized control, as each network node can independently adjust based on local measurements and service requirements.
Data Source
AI summary
A method for latency control in a communication network is disclosed. The method includes identifying that a service is currently associated with a user device associated with the communication network, wherein a deviation between a latency requirement of the service and an internal latency performance of the communication network is bounded, and dynamically adjusting a configuration of the communication network for the service. In some embodiments, the dynamic adjustment is performed only for user devices associated with services with bounded deviation between the latency requirement of the service and the internal latency performance of the communication network. In some embodiments, dynamically adjusting the configuration of the communication network comprises controlling the communication network to provide latencies below a maximum latency threshold for the service. In some embodiments, the dynamic adjustment of the configuration of the communication network is based on the current traffic load.