MIMO Transmission Technique Selector for Dynamic Throughput Optimization
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Solution Overview
Problem
Current MIMO radio communication systems lack an efficient method to select between space-time coding and spatial multiplexing techniques, affecting data throughput and channel quality.
Innovation Solution
A portable data processor and communications device that estimates data throughput using both space-time coding and spatial multiplexing techniques, selecting the technique that offers greater data throughput and channel quality indices for optimal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If space-time coding technique is used, then signal-to-interference and noise ratio is improved, but data throughput is limited
Solution Approach 1:
The system dynamically switches between space-time coding and spatial multiplexing techniques based on channel conditions. The transmission technique selector adapts the transmission mode in real-time, transitioning from static to dynamic operation to optimize both reliability and throughput depending on current signal conditions.
Solution Approach 2:
The system changes the transmission parameter (technique selection) based on SINR conditions. When SINR is high, spatial multiplexing is selected for maximum throughput; when SINR is low, space-time coding is selected for reliable transmission, thus adapting parameters to channel conditions.
2Productivity
If spatial multiplexing technique is used, then data throughput is increased, but reliability may deteriorate when SINR is low
Solution Approach 1:
The system employs dynamic technique selection that adjusts the transmission mode based on real-time SINR measurements. This dynamic adaptation ensures that spatial multiplexing is only used when channel conditions support it, maintaining reliability while maximizing throughput potential.
Solution Approach 2:
The transmission technique selector uses feedback from SINR estimation to make informed decisions about technique selection. The system continuously monitors channel quality and adjusts the transmission technique accordingly, creating a closed-loop control system that balances throughput and reliability.
3Device complexity
If no efficient selection method is available, then system complexity is reduced, but optimal transmission cannot be achieved
Solution Approach 1:
The receiver performs SINR estimation and technique selection autonomously, then provides feedback to the transmitter. This self-service approach allows the system to optimize throughput without requiring complex centralized control or intricate selection algorithms at the transmitter side.
Solution Approach 2:
The invention introduces an intermediary feedback mechanism where the receiver evaluates channel conditions and communicates the optimal technique choice back to the transmitter. This intermediary role simplifies the overall system architecture while enabling optimal transmission through informed technique selection.
Data Source
AI summary
A radio communications device (102) that has multiple receive antennas processes received data communications signals to select between space time coding and spatial multiplexing as a selected transmission technique from a base device (104) that has multiple transmit antennas. A channel throughput (402-412, 450-454) for each transmission technique is estimated based on signal to interference and noise ratios (502-512, 550-554) of signals being transmitted through a MIMO channel (140) as measured by a receiver (708). The transmission technique with the higher estimated throughput is determined. If spatial multiplexing is determined to have the higher estimated throughput and the throughput of each layer of the spatially multiplexed signal is greater than a threshold, spatial multiplexing is selected. Otherwise, space time coding is selected.