Uplink Transmission Robustness via Dynamic Parameter Control
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Solution Overview
Problem
5G NR uplink transmissions, particularly in mmWave and sub-6 GHz frequencies, face challenges with robustness, leading to radio link failures and reduced network performance due to weak physical uplink control channels and high implicit NACK rates, which limit data throughput and reliability.
Innovation Solution
A communication management component (CMC) is employed to dynamically control parameters such as resource blocks, modulation and coding schemes, and packet repetition to enhance the signal-to-interference-plus-noise ratio (SINR) and reduce implicit NACK rates by adjusting these parameters based on real-time communication conditions, ensuring the uplink transmission meets threshold values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uplink transmission parameters are increased to improve robustness, then reliability improves, but device complexity and resource consumption increase
Solution Approach 1:
The base station automatically monitors implicit NACK rates and communication conditions, then autonomously adjusts uplink transmission parameters (resource blocks, MCS, packet repetition) without requiring complex device-side calculations or manual configuration. The network infrastructure performs the adaptive control function, simplifying the user device while maintaining transmission robustness.
Solution Approach 2:
The system uses implicit NACK rate monitoring as a feedback mechanism to dynamically adjust uplink transmission parameters. The base station measures the implicit NACK rate, compares it against thresholds, and automatically modifies parameters such as resource block allocation, MCS values, and packet repetition factors to optimize reliability while adapting to changing channel conditions.
2Reliability
If packet repetition is increased to improve robustness, then reliability improves, but loss of time increases
Solution Approach 1:
The packet repetition factor is dynamically adjusted based on real-time implicit NACK rate measurements and communication conditions. The base station increases repetition only when necessary (high NACK rates) and reduces it when conditions improve, creating a dynamic balance between reliability and transmission delay that adapts to varying channel quality.
Solution Approach 2:
The system changes the packet repetition parameter adaptively based on measured communication conditions. When implicit NACK rates exceed thresholds, the repetition factor is increased to improve reliability; when conditions are good, the factor is reduced to minimize delay. This parameter modulation resolves the contradiction between robustness and speed.
3Reliability
If resource blocks are increased to improve robustness, then reliability improves, but use of energy increases
Solution Approach 1:
The base station performs energy-efficient resource management by automatically monitoring implicit NACK rates and adjusting resource block allocations accordingly. This centralized control optimizes the trade-off between transmission robustness and energy consumption, allocating additional resources only when channel conditions deteriorate and NACK rates increase, rather than maintaining high resource allocation continuously.
4Reliability
If implicit NACK rates are reduced through parameter optimization, then reliability improves, but device complexity increases
Solution Approach 1:
The base station implements a feedback-driven parameter optimization system that monitors implicit NACK rates and automatically adjusts transmission parameters. This feedback loop reduces the need for complex device-side parameter management, as the network infrastructure handles the optimization based on measured performance metrics, thereby improving reliability while keeping device complexity manageable.
Data Source
AI summary
Techniques for controlling parameters for uplink transmission associated with a device to facilitate improving a communication condition metric(s) (CCM(s)) of the uplink transmission are presented. A communication management component (CMC) can determine whether CCM satisfies a first threshold CCM. If CCM does not, CMC can modify a parameter(s) to reduce a number of resource blocks or an MCS value to improve the CCM. If respective minimum threshold levels have been reached for the number of resource blocks and MCS value, and CCM still is not satisfying the first threshold CCM, CMC can modify a parameter to increase an amount of repetition of data packets for uplink transmission (unless a maximum threshold amount of repetition is reached). If CCM satisfies an applicable threshold CCM for a defined amount of time, CMC can modify parameters to increase the number of resource blocks, increase MCS value, or reduce repetition of data packets.