ACK Coalescing Stream Ranking for Wireless Feedback Efficiency
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in ACK coalescing when handling a large number of data streams exceeding the configured maximum, leading to reduced performance.
Innovation Solution
Implementing a method where receivers and transmitters dynamically select data streams for ACK coalescing based on a metric related to the number of ACKs, allowing for improved efficiency in ACK transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ACK coalescing is applied to all data streams, then ACK transmission efficiency is improved, but system complexity increases when handling large numbers of data streams
Solution Approach 1:
The patent implements dynamic stream selection where the receiver dynamically determines which data streams to apply ACK coalescing based on real-time conditions. The receiver monitors metrics such as packet error rates and ACK feedback patterns to adaptively select streams for coalescing, allowing the system to optimize performance without applying uniform complex processing to all streams.
Solution Approach 2:
The patent applies different ACK handling strategies to different data streams based on their individual characteristics. By analyzing stream-specific metrics like packet error rates and retransmission patterns, the system applies ACK coalescing selectively to streams that benefit most, while using traditional ACK handling for streams where it would be less effective or more complex.
2Productivity
If dynamic stream selection is implemented, then ACK coalescing performance is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis of data stream characteristics and pre-determines which streams are candidates for ACK coalescing before actual ACK transmission occurs. By monitoring packet error rates, retransmission patterns, and other metrics in advance, the receiver pre-selects streams that will benefit from coalescing, reducing the processing time needed during actual ACK transmission.
Solution Approach 2:
The system continuously monitors feedback metrics such as packet error rates, retransmission counts, and ACK acknowledgment patterns to dynamically adjust stream selection. This feedback mechanism allows the system to learn from past performance and optimize future stream selection, reducing processing time by avoiding unnecessary analysis of streams that consistently perform well or poorly.
Data Source
AI summary
A receiver may receive a plurality of data streams from a transmitter, each data stream of the plurality of data streams including at least one data stream, rank at least a subset of the plurality of data streams based on a metric that is based on a number of ACKs associated with each data stream, and transmit at least one subset of ACKs for the subset of data streams, wherein each subset of ACKs of the at least one subset of ACKs indicates a plurality of ACKs for a subset of packets of the subset of data streams. The rank of at least the subset of the plurality of data streams is generated based at least in part on an estimated number of ACKs for each data stream of the plurality of data streams.


