Translated CQI Table for 5G Channel Capacity Assessment
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Solution Overview
Problem
Current 5G communication systems face challenges in determining the optimum quantity of data to transmit due to the base station's inability to accurately assess the channel's capacity, leading to suboptimal transmission speeds and latencies.
Innovation Solution
The implementation of a network device that selects a target reliability from a translated channel quality indicator (CQI) table, allowing the base station to configure the UE to compute CQI values based on a chosen target initial block error rate (iBLER), independent of the configured CQI table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the base station uses traditional CQI tables to determine transmission parameters, then the system can operate with standard procedures, but the base station cannot accurately assess channel capacity leading to suboptimal transmission speed and latency
Solution Approach 1:
The patent applies parameter changes by introducing a translated CQI table that maps traditional CQI values to modified channel quality indicators. This translation process transforms the measurement parameters to better reflect actual channel conditions, enabling the base station to accurately assess channel capacity and select optimal transmission parameters, thereby resolving the contradiction between measurement accuracy and transmission productivity
2Productivity
If the base station transmits larger quantities of data to improve speed, then transmission productivity increases, but the likelihood of multiple transmission attempts increases leading to larger latency
Solution Approach 1:
The patent implements feedback mechanisms where the UE reports translated CQI values that accurately reflect channel conditions. The base station uses this feedback to dynamically adjust transmission parameters, selecting optimal data quantities that maximize speed while minimizing retransmission needs. This closed-loop feedback system resolves the contradiction between transmission speed and latency by continuously adapting to channel conditions
3Reliability
If the base station uses advanced channel coding options to improve reliability, then building penetration and link margin increase, but computing resources are consumed
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple translated CQI tables with different reliability targets and channel coding parameters. The base station selects the appropriate pre-configured table based on current channel conditions, avoiding the need to compute optimal parameters in real-time. This pre-computation approach enables advanced channel coding for improved reliability while conserving computing resources
Data Source
AI summary
A network device may select a target reliability from a table that includes a list of target reliabilities not associated with a default reliability, and may provide the target reliability to a user equipment. The user equipment may be configured to associate the target reliability with a channel quality indicator (CQI) process that computes CQI values that satisfy the target reliability.