Mobile Network Link Parameter Adaptation for Latency Control
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Solution Overview
Problem
Current mobile communication networks face challenges in managing decoding constraints and processing latency, particularly in centralized radio access networks where encoding and decoding processes on non-specialized hardware lead to increased data transmission delays, and existing methods lack flexibility in controlling decoding time based on actual service requirements.
Innovation Solution
A method is introduced to identify link processing jobs causing delays in the communication link between the radio access network and the core network, select those with the largest impact, and adapt link parameters such as signal-to-noise power ratio and modulation-and-coding schemes to meet latency requirements, ensuring proactive control of processing latency and real-time guarantees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If encoding and decoding processes are performed on non-specialized hardware in centralized radio access networks, then device complexity is reduced and ease of manufacture is improved, but processing latency increases and productivity deteriorates
Solution Approach 1:
The patent implements dynamic control of decoding time based on service requirements. The system adjusts the number of decoding iterations and timing parameters in real-time according to QoS class identifiers, making the processing adaptable to different service needs while maintaining acceptable latency levels on general-purpose hardware
Solution Approach 2:
The patent changes key processing parameters including decoding time allocation, number of iterations, and timing advance values based on service type and QoS requirements. This allows the system to optimize processing speed versus accuracy trade-offs dynamically, addressing the latency issue while using non-specialized hardware
2Reliability
If decoding time is increased to ensure decoding success, then reliability is improved, but processing latency increases and productivity deteriorates
Solution Approach 1:
The patent applies partial decoding iterations based on service requirements. Instead of always performing maximum iterations, the system dynamically selects the appropriate number of iterations (e.g., 1-8 iterations) based on QoS class, achieving sufficient decoding success for each service type while minimizing unnecessary processing
Solution Approach 2:
The system implements periodic adjustments to decoding parameters based on HARQ feedback and service requirements. Decoding time and iteration counts are periodically re-evaluated and adjusted according to current channel conditions and QoS demands, balancing reliability and productivity
3Loss of time
If link parameters are adapted to meet latency requirements, then processing latency is controlled, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors actual decoding performance and latency, then adjusts timing advance values and decoding parameters accordingly. HARQ acknowledgments and service quality measurements feed back into the control loop, enabling automatic adaptation without complex manual configuration
Solution Approach 2:
The system performs self-configuration of decoding time parameters based on service requirements and network conditions. The eNodeB automatically determines appropriate timing advance values and decoding iteration counts for different QoS classes without requiring external intervention, reducing control complexity while maintaining latency control
Data Source
AI summary
A method for operating a mobile communication network includes identifying link processing jobs running on one or more entities in the mobile communication network which cause an increase of data transmission delay in a communication link between the radio access network and a core network of the mobile communication network. One or more of the identified link processing jobs is selected. Link parameters of the selected link processing jobs of the communication link are adapted depending on latency requirements of a service using the communication link.