Beam Index Filtering in LTE and 5G Base Stations
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Solution Overview
Problem
Existing MIMO communication systems face challenges in selecting reliable beam indices due to noise and interference, leading to reduced system capacity and fluctuating channel conditions, especially in FDD and TDD systems.
Innovation Solution
A beam index filtering algorithm that uses a queue to store and select the most frequently occurring beam index, with tiebreakers based on recency, and dynamically adjusts weights and queue length based on channel conditions and user equipment movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If beam index is selected based on instantaneous channel estimation, then the system can respond quickly to channel changes, but the beam index fluctuates due to noise and interference, reducing reliability
Solution Approach 1:
The patent applies preliminary action by maintaining a queue of N previously selected beam indexes before making the current selection. This historical data is prepared in advance and used to filter out noisy instantaneous measurements, allowing the system to respond to channel changes while maintaining stability through the pre-collected beam index history.
Solution Approach 2:
The patent introduces an intermediary filtering mechanism that sits between the instantaneous channel estimation and the final beam index selection. The queue of historical beam indexes acts as a mediator, smoothing out noise and interference while preserving the essential channel state information needed for reliable beam selection.
2Reliability
If a filtering algorithm is applied to select beam index from queue, then beam index reliability is improved, but system complexity increases
Solution Approach 1:
The patent segments the beam index selection process into distinct components: a queue structure for storing historical beam indexes, a filtering algorithm for processing the queue, and a selection mechanism for choosing the final beam index. This segmentation makes the complex filtering system more manageable and implementable by breaking it into modular, independent functions.
3Reliability
If queue length N is increased to improve filtering accuracy, then beam index reliability improves, but processing time and memory usage increase
Solution Approach 1:
The patent applies dynamics by making the queue length N an adjustable parameter that can be optimized based on specific system requirements and channel conditions. This allows the filtering accuracy and processing time to be dynamically balanced, enabling the system to adapt to different operational scenarios without being locked into a fixed, potentially suboptimal queue length.
Data Source
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AI summary
Methods and systems for Long Term Evolution (LTE) and Fifth Generation (5G) beam index filtering are presented. According to one aspect, a method for beam index filtering comprises receiving a beam index that was estimated based on information received from a User Equipment (UE); storing the received beam index into a queue of length N for storing received beam indexes, N being greater than one; selecting a beam index from the queue according to a filtering algorithm; and using the selected beam index for transmissions to the UE. In one embodiment, a majority vote algorithm is employed to select the beam index that appears most often in the queue. Where there is a tie between two or more beam indexes, the beam index that was most recently added to the queue is selected. The same concepts may be applied to filter input data or parameters other than beam indexes.