MIMO Rate Selection Algorithm for Throughput Optimization
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Solution Overview
Problem
Current 802.11 wireless local area network (WLAN) standards fail to adequately maximize throughput and minimize packet error rates in closed loop multiple input multiple output (MIMO) systems, despite demands for higher data rates and lower packet error rates, due to limitations in existing feedback mechanisms and adaptive modulation/coding techniques.
Innovation Solution
A method and system employing adaptive modulation and coding techniques in closed loop MIMO WLAN systems, where modulation and coding rates are selected on a per-stream basis based on signal-to-noise ratio (SNR) performance to maximize aggregate information transfer rates while minimizing packet error rates, utilizing eigen beamforming and feedback mechanisms to optimize channel usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive modulation and coding are implemented in closed loop MIMO systems, then throughput is maximized and packet error rates are minimized, but system complexity increases due to feedback mechanisms and per-stream optimization requirements
Solution Approach 1:
The patent applies segmentation by implementing per-stream modulation and coding rate selection instead of a unified approach. Each spatial stream is independently optimized based on its own channel conditions, allowing the system to maximize throughput for each stream while managing complexity through modular processing. The feedback mechanism also operates on per-stream basis, segmenting the control information into manageable units.
Solution Approach 2:
The patent implements dynamic adaptation of modulation and coding rates based on real-time feedback from channel conditions. The system continuously adjusts transmission parameters according to varying SNR levels and channel quality, enabling optimal throughput under different operating conditions. This dynamic behavior allows the system to respond to changing wireless environments while maintaining performance optimization.
2Productivity
If per-stream modulation and coding rate selection is implemented, then aggregate information transfer rate is maximized, but feedback information processing complexity increases
Solution Approach 1:
The patent applies local quality by selecting different modulation and coding rates for each spatial stream based on its specific channel conditions. Instead of using a uniform rate for all streams, the system tailors the transmission parameters to the local characteristics of each stream's channel quality, thereby maximizing the aggregate information transfer rate while accounting for individual stream performance.
Solution Approach 2:
The patent implements feedback mechanisms where the receiving station provides channel quality information back to the transmitting station for each spatial stream. This feedback enables the transmitting station to adjust modulation and coding rates dynamically, optimizing the aggregate information transfer rate while managing feedback processing through structured information exchange protocols.
3Reliability
If beamforming techniques are used to steer signals, then signal reliability is improved with less noise and interference, but device complexity increases due to eigen beamforming computations
Solution Approach 1:
The patent applies preliminary action by performing eigen beamforming computations and channel quality assessments before actual data transmission. The system pre-calculates the optimal beamforming vectors and modulation/coding rates based on channel conditions, so that when transmission occurs, the parameters are already optimized. This reduces real-time computational complexity while maintaining signal reliability.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting beamforming vectors, modulation schemes, and coding rates based on channel conditions. The system transforms the transmission parameters according to the eigen-decomposition of the channel matrix, adapting the signal characteristics to match the channel properties and thereby improving signal reliability through parameter optimization.
Data Source
AI summary
Aspects of a method and system for rate selection algorithm to maximize throughput in closed loop multiple input multiple output (MIMO) wireless local area network (WLAN) system are provided and may comprise computing a maximum number of binary bits to be simultaneously transmitted via an RF channel based on signal quality. A modulation technique may be selected based on the computed maximum, communicating feedback information comprising the selected modulation technique. Subsequently transmitted data may be received via an RF channel which is modulated based on the feedback information. Another aspect of the method may comprise receiving feedback information comprising at least one of a selected modulation technique and coding rate via an RF channel, and transmitting subsequent data via said at least one of a plurality of RF channels which either modulated, or coded, based on the feedback information.