Uplink MU-MIMO and OFDMA Encoding for Payload Bit Allocation
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently encoding and decoding data symbols for uplink multi-user MIMO and OFDMA transmissions, particularly in determining the optimal number of data symbols and payload bits to ensure reliable and efficient data transmission.
Innovation Solution
The implementation of LDPC or BCC encoding techniques in wireless communication systems, where the number of data symbols is determined based on factors like space-time block code values, padding bits, and mandatory time durations, to create a data frame with a signal field that includes modulation and coding scheme values, enabling efficient transmission and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of data symbols is increased to improve transmission reliability, then the reliability of data transmission is improved, but the transmission time and productivity are reduced
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the number of data symbols and payload bits based on transmission conditions, encoding schemes (LDPC or BCC), and mandatory time durations. The system calculates optimal parameters including the number of data symbols, payload bits, and padding bits to achieve reliable transmission within time constraints, resolving the contradiction between reliability and productivity.
2Reliability
If LDPC or BCC encoding is applied to ensure reliable data transmission, then the reliability is improved, but the device complexity and processing overhead increase
Solution Approach 1:
The patent segments the data transmission process into distinct encoding stages (LDPC or BCC encoding), signal field construction, and parameter calculation steps. By dividing the complex encoding process into manageable segments with clear parameter relationships, the system maintains reliability while reducing processing complexity through structured computation of data symbols, payload bits, and padding requirements.
3Productivity
If the number of payload bits is increased to transmit more data, then the productivity is improved, but the reliability of accurate decoding is reduced
Solution Approach 1:
The patent applies partial action by calculating the optimal number of payload bits that fits within the constrained number of data symbols and mandatory time duration. Rather than transmitting maximum possible data, the system transmits an optimized portion that ensures reliable decoding within resource constraints, then uses padding bits to fill the data frame, achieving the balance between productivity and reliability.
4Duration of action of moving object
If padding bits are added to fill the data frame to meet mandatory time duration, then the transmission timing is improved, but the loss of information increases due to unnecessary padding
Solution Approach 1:
The patent applies preliminary action by pre-calculating the optimal number of data symbols and payload bits before constructing the data frame. The system determines the required padding bits in advance based on the difference between the calculated data symbols and the mandatory time duration, ensuring timing compliance while minimizing information loss through optimized parameter selection.
Data Source
AI summary
A method, an apparatus, and a computer-readable medium for wireless communication are provided. In one aspect, the apparatus is configured to determine a number of data symbols for transmitting a data payload. The apparatus is configured to determine a number of payload bits for transmitting the data payload based on the determined number of data symbols. The apparatus is configured to transmit a data frame. The data frame includes a signal field and data symbols encoded based on the data payload, the determined number of data symbols, and the determined number of payload bits, in which the data symbols are encoded using LDPC encoding or BCC encoding.