Dynamic Repetition Factor for 5G Uplink Feedback
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Solution Overview
Problem
5G wireless networks face challenges in efficiently managing uplink feedback data transmission, leading to increased interference and reduced battery life due to fixed repetition factors, which do not adapt to varying user equipment (UE) locations and conditions.
Innovation Solution
The implementation of dynamic repetition factors for uplink feedback data transmission, based on criteria such as UE location, radio conditions, battery life, and network node processing capabilities, to optimize transmission frequency and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed repetition factors are used for uplink feedback data transmission, then transmission reliability is improved, but uplink interference increases and battery life decreases
Solution Approach 1:
The patent implements dynamic repetition factors that adapt based on UE location, radio conditions, and network node processing capabilities. Instead of using fixed repetition factors for all UEs, the system dynamically adjusts the repetition factor for each UE based on real-time conditions, thereby maintaining transmission reliability while reducing unnecessary repetitions that cause interference and consume battery power.
Solution Approach 2:
The patent applies different repetition factors to different UEs based on their specific conditions (location, radio quality, battery status). Each UE receives a customized repetition factor tailored to its local situation rather than a uniform fixed value, optimizing the balance between reliability and interference for each individual UE.
2Reliability
If fixed repetition factors are used for uplink feedback data transmission, then transmission reliability is improved, but battery life is reduced
Solution Approach 1:
The system dynamically adjusts repetition factors based on real-time UE conditions including battery status and radio conditions. When radio conditions are good or UE is in optimal location, the repetition factor is reduced, decreasing energy consumption. When conditions deteriorate, the repetition factor increases to maintain reliability, creating an adaptive energy-management strategy.
Solution Approach 2:
The patent changes the repetition factor parameter dynamically based on multiple criteria including UE location, radio conditions, and battery life. This parameter adaptation allows the system to optimize the trade-off between transmission reliability and energy consumption by adjusting the repetition factor according to current operational conditions.
3Object-generated harmful factors
If dynamic repetition factors are implemented, then uplink interference is reduced and battery life is conserved, but system complexity increases
Solution Approach 1:
The patent implements local quality by applying different repetition factors to different UEs based on their specific conditions. The network node evaluates local conditions (UE location, radio quality, processing capability) and assigns appropriate repetition factors, managing complexity through localized decision-making rather than system-wide complex coordination.
Solution Approach 2:
The system manages complexity by dynamically adjusting a single key parameter (repetition factor) based on well-defined criteria. This focused parameter adaptation approach avoids the need for complex multi-parameter optimization while achieving the goals of reduced interference and conserved battery life.
Data Source
AI summary
Configuring channel state information configuration parameters can reduce user equipment uplink feedback information. The user equipment can send the uplink feedback information to the network node by adapting the repetition factor based on one or more criteria. The repetition factor can be determined by the user equipment and/or a network node associated with the user equipment. Thus, reducing the frequency of reporting uplink feedback information can reduce power usage, signal interference, and increase battery life.