Adaptive Precoder Set Sizing for MIMO Channel Reliability
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Solution Overview
Problem
Current multiple-input transmission techniques, such as MU-MIMO, face challenges in maximizing channel capacity, especially when channel state information is poor, leading to reduced efficiency in spatial and spectral diversity.
Innovation Solution
A method that determines the quality of the channel estimate and adjusts the set of precoders accordingly, using channel reciprocity to select the appropriate precoder, thereby optimizing transmission by controlling the size of the precoder set based on the channel quality, ensuring reliable information entropy for better transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive transmission techniques are used when channel state information quality is poor, then transmission reliability is maintained, but channel capacity is foregone
Solution Approach 1:
The system dynamically adapts the transmission technique based on the quality of channel state information. When CSIT quality is good, adaptive transmission techniques are used to maximize channel capacity. When CSIT quality degrades below a threshold, the system switches to diversity transmission techniques to maintain reliability. This dynamic adaptation resolves the contradiction by allowing the system to optimize for capacity under good conditions and reliability under poor conditions.
Solution Approach 2:
The invention changes the transmission parameter (transmission technique) based on the quality parameter of channel state information. By monitoring CSIT quality and adjusting the transmission approach accordingly, the system can achieve high capacity when information is reliable and maintain acceptable performance when information quality deteriorates, thus resolving the trade-off between capacity and reliability.
2Reliability
If diversity transmission techniques are used when CSIT quality is poor, then spatial and spectral diversity is captured, but increased channel capacity is foregone
Solution Approach 1:
The system dynamically selects between diversity transmission and adaptive transmission based on real-time assessment of CSIT quality. This dynamic switching allows the system to capture spatial and spectral diversity when channel information is unreliable, while maximizing capacity when channel information is accurate, thereby resolving the contradiction between diversity capture and capacity optimization.
Solution Approach 2:
The system uses feedback from channel quality measurements to determine the appropriate transmission technique. By continuously monitoring CSIT quality and adjusting transmission strategy accordingly, the system ensures that diversity techniques are applied only when necessary (poor CSIT quality), thus maintaining reliability without permanently sacrificing potential capacity gains.
3Productivity
If a large set of precoders is used, then channel capacity is maximized, but reliability decreases when channel estimate quality is poor
Solution Approach 1:
The system dynamically adjusts the size of the precoder set based on channel estimate quality. When channel estimates are high-quality, a larger precoder set is used to maximize capacity. When channel estimate quality deteriorates, the system reduces the precoder set size to ensure reliable precoder determination. This dynamic adaptation resolves the contradiction by allowing the system to optimize for capacity or reliability depending on current channel conditions.
Solution Approach 2:
The invention changes the parameter of precoder set size based on the quality parameter of channel estimates. By adjusting this parameter according to channel conditions, the system can achieve large precoder sets (high capacity) when estimates are reliable and small precoder sets (high reliability) when estimates are poor, thus resolving the contradiction between capacity maximization and reliable operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances channel capacity and reduces inter-cell interference by adaptively selecting precoders based on channel quality, leading to more efficient use of the electromagnetic spectrum and improved transmission reliability.
Implementation Method 1
The spatial precoding may be based on channel reciprocity. The channel estimate may be determined using channel reciprocity.
Data Source
AI summary
A technique for transmitting on a multiple-input channel from a transmitting device to at least one receiving device is described. As to a method of the technique, a quality of a channel estimate of the multiple-input channel from the transmitting device to the at least one receiving device is determined. A transmission on the multiple-input channel from the transmitting device to the at least one receiving device is performed. The transmission is spatially precoded using at least one precoder determined out of a set of precoders. A size of the set of precoders is an increasing or non-decreasing function of the determined quality of the channel estimate.