Dynamic Uplink Downlink Rate Assignment in Wireless Networks
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Solution Overview
Problem
Current data rate assignment in LTE networks for uplink and downlink data transmission is independent of network loading conditions and modulation coding schemes, leading to inefficient link adaptation.
Innovation Solution
A network control node dynamically adjusts the modulation coding scheme based on network loading conditions, interference to thermal noise ratio, and HARQ feedback by determining correction parameters using step sizes and previous values to optimize signal-to-interference-plus-noise ratio for both uplink and downlink channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data rates are assigned based on fixed MCS values independent of network loading conditions, then the system complexity is reduced and ease of operation is improved, but spectral efficiency deteriorates and productivity decreases
Solution Approach 1:
The patent implements dynamic link adaptation by continuously adjusting the MCS index based on real-time network loading conditions and channel quality feedback. The system transitions from static fixed MCS assignment to dynamic MCS selection, where the MCS index is adapted according to current network conditions, thereby improving spectral efficiency while maintaining operational simplicity through automated feedback-driven adjustments.
Solution Approach 2:
The patent changes the MCS parameter dynamically based on network loading conditions and channel quality indicators. By adjusting the MCS index (a key transmission parameter) according to real-time feedback from the network state, the system optimizes spectral efficiency without requiring manual intervention, thus resolving the contradiction between ease of operation and productivity.
2Ease of operation
If link adaptation is performed independently of network loading conditions, then device complexity is reduced and ease of operation is improved, but reliability deteriorates due to inefficient rate assignment
Solution Approach 1:
The patent implements a feedback-driven link adaptation mechanism where the network controller receives channel quality indicators (CQI) from user equipment and adjusts the MCS index accordingly. This closed-loop feedback system ensures reliable data transmission by continuously adapting the transmission rate to match current network conditions, thereby improving reliability while maintaining ease of operation through automated control.
Solution Approach 2:
The system performs self-adjusting link adaptation by automatically modifying the MCS index based on received CQI feedback without requiring manual configuration. The network controller autonomously optimizes transmission parameters according to real-time network state, ensuring reliable operation while maintaining ease of use through self-service adaptation.
3Measurement precision
If fixed data rate assignments are used without dynamic adjustment, then manufacturing precision and measurement precision requirements are reduced, but loss of information increases due to block errors from mismatched rates
Solution Approach 1:
The patent implements dynamic MCS adjustment that adapts transmission parameters to real-time channel conditions. By continuously updating the MCS index based on CQI feedback, the system prevents block errors caused by rate mismatches, thereby reducing information loss without requiring complex measurement and precision control mechanisms.
Solution Approach 2:
The system dynamically changes the MCS parameter to match current channel quality, preventing transmission errors and information loss. By adjusting the modulation and coding scheme according to real-time feedback, the system maintains reliable transmission without imposing stringent measurement precision requirements.
4Device complexity
If network loading conditions are not considered in rate assignment, then device complexity is reduced, but adaptability deteriorates leading to inefficient utilization of network resources
Solution Approach 1:
The patent implements feedback-based link adaptation where the network controller receives CQI information from user equipment and adjusts MCS accordingly. This feedback mechanism enables the system to adapt to varying network loading conditions automatically, improving adaptability while maintaining low device complexity through centralized control and automated decision-making.
Solution Approach 2:
The system performs self-adjusting rate adaptation by automatically modifying transmission parameters based on network loading conditions and channel quality feedback. This self-service mechanism enhances adaptability without increasing device complexity, as the adaptation is performed autonomously based on predefined algorithms and feedback loops.
Data Source
AI summary
In one example embodiment, a network control node includes a memory having computer-readable instruction stored therein, and a processor. The processor is configured to execute the computer-readable instructions to determine an uplink correction parameter based on at least one of network loading conditions and a modulation coding scheme used for transmission of data packets on an uplink channel from a user equipment to the network control node, determine a target signal to interference plus noise ratio (SINR) for the user equipment based on the uplink correction parameter, and adjust the modulation coding scheme based on the determined target SINR.