Switching Orthogonal and Non-Orthogonal Sequence Codebooks for Uplink Control
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Solution Overview
Problem
Wireless communications systems face performance degradation in channel estimation due to low signal-to-noise ratios (SNR) when using demodulation reference signals (DMRS), particularly in noncoherent demodulation and decoding processes.
Innovation Solution
The system switches between orthogonal and non-orthogonal sequence codebooks based on payload size and control messages to optimize channel transmission, allowing for noncoherent uplink control transmissions without DMRS, thereby improving efficiency and avoiding performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If demodulation reference signals (DMRS) are used for channel estimation in noncoherent demodulation, then channel decoding can be performed, but channel estimation performance deteriorates due to low signal-to-noise ratio (SNR)
Solution Approach 1:
The patent dynamically switches between orthogonal and non-orthogonal sequence codebooks based on channel conditions and payload characteristics. This dynamic adaptation allows the system to optimize performance by selecting the appropriate codebook type for each transmission, resolving the contradiction between maintaining decoding capability and improving estimation accuracy under varying SNR conditions.
Solution Approach 2:
The patent changes the fundamental parameter of sequence orthogonality, transitioning between orthogonal and non-orthogonal sequence codebooks. This parameter change enables the system to achieve better channel estimation performance by using non-orthogonal sequences when appropriate, while maintaining the ability to perform channel decoding through codebook-based noncoherent demodulation.
2Measurement precision
If orthogonal sequence codebook is used for transmission, then channel estimation performance is improved, but transmission efficiency decreases for large payload sizes
Solution Approach 1:
The system dynamically selects between orthogonal and non-orthogonal sequence codebooks based on payload size and channel conditions. For small payloads, orthogonal sequences provide better estimation performance, while for large payloads, non-orthogonal sequences improve transmission efficiency. This dynamic selection resolves the contradiction between estimation accuracy and transmission efficiency.
Solution Approach 2:
The patent changes the orthogonality parameter of the sequence codebook based on transmission requirements. By switching between orthogonal and non-orthogonal modes, the system optimizes the balance between channel estimation performance and transmission efficiency for different payload sizes and channel conditions.
3Productivity
If non-orthogonal sequence codebook is used for transmission, then transmission efficiency is improved for large payloads, but channel estimation performance deteriorates
Solution Approach 1:
The system dynamically adapts its sequence codebook selection based on the specific transmission requirements. When transmission efficiency is prioritized for large payloads, non-orthogonal codebooks are selected. When channel estimation accuracy is more critical, orthogonal codebooks are used. This dynamic adaptation resolves the contradiction between transmission efficiency and estimation performance.
Solution Approach 2:
The patent utilizes parameter changes in sequence orthogonality to balance transmission efficiency and channel estimation performance. By adjusting the orthogonality parameter based on payload size and channel conditions, the system achieves optimal performance for each specific transmission scenario.
4Measurement precision
If DMRS-based coherent demodulation is used, then channel estimation can be performed, but system complexity increases and performance degrades in low SNR conditions
Solution Approach 1:
The patent extracts and eliminates the requirement for DMRS by implementing codebook-based noncoherent demodulation. This removes the complexity associated with DMRS transmission, reception, and processing, while still enabling channel estimation and decoding through the codebook structure itself.
Solution Approach 2:
The patent substitutes the mechanical DMRS-based channel estimation mechanism with a codebook-based noncoherent demodulation approach. This substitution reduces system complexity by eliminating DMRS-related components while maintaining channel estimation capability through the inherent structure of the sequence codebooks.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A transmitter may transmit a payload in transmission to the base station in a wireless communications system. The transmitter may identify a payload to include in the transmission to the base station. The transmitter may determine to transmit the transmission using an orthogonal sequence codebook or a non-orthogonal sequence codebook, based on a size of the payload, a control message from the base station to the transmitter, or a combination of these. The transmitter may then transmit the transmission to the base station based on whether the transmission is to use the orthogonal sequence codebook or the non-orthogonal sequence codebook. The transmission may be a noncoherent transmission. The transmission may be an uplink control information transmission, an uplink data transmission, a downlink control information transmission, or a downlink data transmission.