MU-MIMO Feedback Scheduling via Segmented BCI Reporting
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Solution Overview
Problem
In MU-MIMO systems, the existing feedback schemes for reporting multiple best companion pre-coding matrix indices (BCIs) and delta channel quality indicators (ΔCQIs) lead to increased feedback overhead, which can result in reduced scheduling flexibility and performance due to potential BCI aging issues.
Innovation Solution
The method involves transmitting multiple BCIs and corresponding ΔCQIs with a longer frame period than a single BCI, and adjusting the feedback cycle for ΔCQIs to be shorter than that of BCIs, allowing for more accurate channel condition reflection and reduced overhead by reporting only the worst ΔCQI or using fixed BCI values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple BCIs and corresponding ΔCQIs are reported frequently to improve scheduling flexibility and MU-MIMO performance, then scheduling flexibility and performance are improved, but feedback overhead increases
Solution Approach 1:
The patent segments the feedback reporting by dividing BCIs and ΔCQIs into different reporting groups. Some BCIs are reported frequently while others are reported less frequently, allowing the system to capture essential scheduling information without transmitting all BCI values at every opportunity, thus reducing overall feedback overhead while maintaining scheduling flexibility.
Solution Approach 2:
The patent implements periodic reporting with different cycles for different BCI groups. By setting longer reporting periods for certain BCIs and shorter periods for others, the system optimizes the balance between having up-to-date scheduling information and minimizing feedback overhead, applying periodic action at varying frequencies based on importance and channel variability.
2Measurement precision
If multiple BCIs are reported with the same feedback period to maintain accurate channel information, then channel accuracy is maintained, but feedback overhead increases
Solution Approach 1:
The patent segments BCIs into different reporting groups with different periodicities. Critical BCIs that require accurate channel information are reported frequently, while less critical BCIs are reported less frequently. This segmentation allows the system to maintain measurement precision for essential parameters while reducing the total quantity of feedback data transmitted.
3Reliability
If the feedback period for multiple BCIs is shortened to prevent BCI aging, then BCI freshness is improved, but feedback overhead increases
Solution Approach 1:
The patent applies periodic action with varying frequencies to different BCI groups. By setting appropriate reporting periods for each BCI group based on its importance and susceptibility to aging, the system ensures that critical BCIs are refreshed frequently to maintain reliability, while less critical BCIs are updated less frequently to control feedback overhead.
4Ease of operation
If all BCIs are reported at the same frequency to simplify feedback management, then feedback management is simplified, but scheduling performance deteriorates
Solution Approach 1:
The patent segments BCIs into different reporting groups with different periodicities based on their importance for scheduling decisions. This segmentation allows the system to prioritize feedback management for critical BCIs while reducing reporting for less critical ones, thereby maintaining MU-MIMO performance without requiring uniform high-frequency reporting of all BCIs.
Data Source
AI summary
A wireless communication method, a terminal and a base station are provided. The method includes the step of transmitting a plurality of best companion pre-coding matrix indexs (BCIs) and corresponding delta channel quality indicators (ΔCQIs) from the terminal to the base station, wherein the period of frames for transmitting the plurality of BCIs is larger than the period of frames for transmitting a single BCI. The method, terminal and base station according to the present disclosure can greatly increase scheduling flexibility at base station side and improve MU-MIMO performance without increasing feedback overhead of channels.


