Reference Signal Design for Wireless Transmitter Optimization
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Solution Overview
Problem
Current pilot design techniques for wireless communication systems do not adequately consider the modulation and coding schemes used for data transmission, leading to suboptimal channel estimation accuracy and bandwidth efficiency, and fail to adapt to time-varying channel conditions.
Innovation Solution
A method and system for determining modulation control information and reference signal design that selects candidate designs based on channel state information, signal-to-noise ratio, and quality indications to optimize net throughput, taking into account both channel estimation accuracy and data transmission efficiency, and allowing for adaptation to changing channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pilot density is increased to improve channel estimation accuracy, then channel estimation accuracy is improved, but data throughput decreases
Solution Approach 1:
The patent implements dynamic pilot density adjustment where the system adaptively changes pilot density based on current channel conditions and selected MCS. Different candidate reference signal designs with varying pilot densities are evaluated, and the optimal design is selected to match the modulation and coding scheme, allowing the system to optimize the trade-off between channel estimation accuracy and data throughput in real-time
Solution Approach 2:
The patent changes the parameter of pilot density by providing multiple candidate reference signal designs with different pilot densities. The system evaluates each candidate's suitability for the selected MCS and chooses the optimal pilot density, thereby adjusting this parameter to resolve the contradiction between achieving sufficient channel estimation accuracy and maintaining high data throughput
2Measurement precision
If more transmit power is allocated to pilot symbols to improve channel estimation, then channel estimation quality is improved, but signal to noise ratio for data symbols decreases
Solution Approach 1:
The patent dynamically adjusts the power allocation between pilot and data symbols based on the selected reference signal design and MCS. The system evaluates candidate reference signal designs that incorporate different power allocation schemes and selects the optimal configuration, enabling adaptive power management that resolves the trade-off between channel estimation quality and data signal quality
Solution Approach 2:
The patent changes the parameter of power allocation by providing candidate reference signal designs with different power distribution schemes. The system selects the optimal power allocation configuration that matches the selected MCS, thereby adjusting this parameter to resolve the contradiction between improving channel estimation quality and maintaining adequate signal to noise ratio for data transmission
3Measurement precision
If pilot positions are optimized to improve channel estimation in certain radio channels, then channel estimation quality is improved, but bandwidth efficiency decreases
Solution Approach 1:
The patent implements dynamic selection of pilot positions by providing multiple candidate reference signal designs with different pilot position configurations. The system evaluates which candidate design is most suitable for the selected MCS and current channel conditions, and dynamically selects the optimal pilot positions, allowing adaptation to different radio channel types while maintaining bandwidth efficiency
Solution Approach 2:
The patent changes the parameter of pilot position configuration by offering multiple candidate reference signal designs with different pilot placements. The system selects the optimal pilot position configuration that matches the selected MCS and channel conditions, thereby adjusting this parameter to resolve the contradiction between improving channel estimation quality and maintaining bandwidth efficiency
4Device complexity
If pilot-aided channel estimation is used to reduce complexity, then processing complexity is reduced, but channel estimation accuracy deteriorates compared to direct computation
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple candidate reference signal designs with different configurations (pilot density, positions, power allocation) that are optimized for different MCS and channel conditions. These candidate designs are prepared in advance, and the system selects the most appropriate one based on current conditions, thereby achieving near-optimal channel estimation accuracy without the prohibitive complexity of direct computation
Solution Approach 2:
The patent changes multiple parameters of the reference signal design simultaneously (pilot density, pilot positions, power allocation) by selecting from pre-defined candidate designs. This multi-parameter optimization approach allows the system to achieve high channel estimation accuracy using pilot-aided methods, bridging the gap between low-complexity pilot-based estimation and high-accuracy direct computation
Data Source
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AI summary
A method and system are provided for determining modulation control information and a reference signal design to be used by a transmitter node when generating a transmit signal to transmit from a transmitter(logical antenna)of the transmitter node over a channel of a wireless link to a recipient node. The modulation control information is used by the transmitter node to convert source data into an information bearing signal, and the information bearing signal is combined with a reference signal conforming to the reference signal design in order to produce the transmit signal. The method comprises (a) selecting a candidate reference signal design from a plurality of candidate reference signal designs, (b) determining channel state information for the channel, (c) determining, from the channel state information, signal to noise ratio information for said channel, and (d) for each of a plurality of candidate modulation control information, using the signal to noise ratio information to determine a quality indication for said channel. Steps (a) to (d) are then repeated for each candidate reference signal design in said plurality. Thereafter a winning quality indication is selected from the determined quality indications, and the combination of candidate reference signal design and candidate modulation control information associated with the winning quality indication is then output to the transmitting node.By such an approach, quality indications can be established for each combination of possible reference signal design and possible modulation control information, and hence not only is the inherent channel estimation accuracy achievable using each possible reference signal design considered, but also the data transmission efficiency and robustness to channel effects of each possible modulation control information is also taken into account.