Virtual Cell Feedback Allocation for Channel Accuracy
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Solution Overview
Problem
In Virtual Cell Networks (VCNs), the existing feedback schemes are inefficient as they do not account for the characteristics of User Equipments (UEs) and data types, leading to performance degradation due to incorrect channel information and unnecessary resource consumption.
Innovation Solution
A method and apparatus for forming virtual cells by allocating feedback bits to selected UEs based on their characteristics and service types, allowing for more accurate and efficient channel feedback in VCN systems, where UEs are classified and feedback bits are allocated differently depending on path losses and service requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If equal feedback allocation is provided to all UEs, then feedback resources are distributed uniformly, but resource consumption increases unnecessarily and performance degrades due to incorrect channel information
Solution Approach 1:
The patent applies local quality by differentiating feedback allocation based on individual UE characteristics and channel conditions. Each UE receives a customized feedback bit allocation according to their specific path loss, channel quality, and service requirements, rather than uniform treatment. This ensures that feedback resources are concentrated on UEs where they most improve channel information accuracy while avoiding waste on UEs with poor channel conditions or different service needs.
Solution Approach 2:
The patent changes the feedback allocation parameter from a fixed equal distribution to a dynamic parameter-based allocation. The system adjusts the number of feedback bits allocated to each UE according to varying parameters including path loss, channel quality indicator, and service type. This parameter change enables the system to optimize the balance between feedback resource consumption and channel information accuracy for each individual UE scenario.
2Measurement precision
If more feedback bits are allocated to all UEs, then channel information accuracy improves, but feedback capacity is exceeded and system performance degrades
Solution Approach 1:
The patent applies local quality by tailoring feedback precision to individual UE needs. Instead of uniformly increasing feedback bits for all UEs, the system allocates more bits only to UEs with poor channel conditions or those requiring higher precision for their service type. This localized approach maintains channel information accuracy where needed while preserving overall system throughput by avoiding unnecessary feedback overhead elsewhere in the network.
Solution Approach 2:
The patent applies partial action by providing feedback at different granularities to different UEs. Some UEs receive full feedback precision while others receive reduced feedback, matching their actual channel conditions and service requirements. This partial application of feedback precision optimizes the trade-off between measurement accuracy and system productivity, avoiding the excessive feedback that would waste capacity and reduce overall throughput.
3Device complexity
If feedback is provided without considering UE characteristics and data types, then the feedback scheme is simple to implement, but resource consumption is inefficient and performance degrades
Solution Approach 1:
The patent applies preliminary action by pre-classifying UEs into different categories based on their characteristics, service types, and channel conditions before feedback allocation begins. The system预先 determines feedback bit requirements for different UE classes and service types, then applies these pre-established allocation rules during operation. This preliminary classification approach maintains relative simplicity in implementation while significantly reducing feedback resource consumption by avoiding unnecessary feedback for UEs that don't require it.
Solution Approach 2:
The patent applies local quality by implementing differentiated feedback policies for different UE types and service categories. Rather than a one-size-fits-all approach, the system tailors feedback characteristics to match local conditions - providing enhanced feedback for video streaming UEs with poor channels, reduced feedback for voice UEs with good channels, and customized allocation based on data type requirements. This localized differentiation optimizes resource consumption while maintaining manageable system complexity through structured classification.
Data Source
AI summary
An apparatus is configured to perform a method for providing a wireless communication service to at least one User Equipment (UE) from among a plurality of UEs having links established with a distributed small Base Station (BS) in a Virtual Cell Network (VCN) system in which a plurality of virtual cells exist within one macro cell. The method includes selecting at least one UE to which a wireless communication service is to be provided in a virtual cell, calculating a feedback allocation amount for each of the selected at least one UE, by sharing path losses and user characteristics measured and determined on a UE basis by each of the plurality of virtual cells, and providing information about the calculated feedback allocation amount to the selected at least one UE.