Optimizing Data Rate and Packet Length via Channel Condition Index
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Solution Overview
Problem
In mobile wireless networks, determining optimal data rate and packet length is challenging due to time-varying and error-prone propagation conditions, making it difficult to sustain high system performance without complex and overhead-intensive measurements.
Innovation Solution
A method that uses a Channel Condition Index (CCI) abstracted from simulations to directly determine optimal packet length and data rate, allowing for fast convergence and real-time adjustments based on packet completion rate (PCR) without requiring complex physical layer measurements, utilizing orthogonal frequency-division multiplexing (OFDM) and pre-established models to optimize effective throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complex physical layer measurements are used to determine optimal data rate and packet length, then system performance can be optimized, but measurement overhead and system complexity increase significantly
Solution Approach 1:
The patent introduces an abstract Channel Condition Index (CCI) as an intermediary that mediates between complex physical layer channel characteristics and the data rate/packet length determination. The CCI transforms complex multipath and fading channel information into a simplified metric that can directly guide transmission parameter selection without requiring detailed physical layer measurements, thus resolving the contradiction between performance optimization and measurement overhead.
Solution Approach 2:
The patent changes the parameter representation from detailed physical layer measurements (multipath profiles, signal-to-noise ratios) to an abstract CCI parameter. This parameter transformation simplifies the measurement requirements while preserving the essential channel condition information needed for optimal data rate and packet length selection, thereby reducing measurement overhead without sacrificing system performance.
2Productivity
If adaptive adjustments of data rate and packet length are made in real-time, then communication efficiency improves, but the complexity of tracking time-varying channel conditions increases
Solution Approach 1:
The patent extracts the essential channel condition information from complex time-varying multipath profiles and fading characteristics, condensing it into a single CCI metric. This extraction process separates the critical adaptive control information from the complex channel details, enabling real-time adjustments of data rate and packet length based on the simplified CCI without requiring full channel tracking, thus improving communication efficiency while reducing tracking complexity.
3Measurement precision
If detailed multipath and fading channel measurements are performed, then accurate data rate and packet length determination is achieved, but measurement time and overhead increase
Solution Approach 1:
The patent creates an abstract copy of the channel condition represented by the CCI, which replicates the essential information needed for data rate and packet length determination without copying the full detailed multipath and fading measurements. This CCI copy enables accurate parameter selection while avoiding the time-consuming process of measuring and processing complete channel profiles, thus resolving the contradiction between measurement precision and measurement time.
Data Source
AI summary
A method is provided to determine optimal data rate and packet length in mobile networks. The method directly determines the optimal packet length (L) and data rate (D), which allows fast convergence in the mobile channel. The method automatically identifies and quantifies channel conditions, as well as adjusts parameters according to changes of channel conditions. A variable (Channel condition Index (CCI)) is abstracted from simulations and then used to describe and quantify the impact of three components of channel conditions: signal-to-noise ratio (SNR), multipath environment and velocity. Based on packet completion rate (PCR) status, the channel condition is identified in terms of CCI value. Once CCI is identified, the model of effective throughput G is directly optimized to locate the best packet length (L) and data rate (D).