Wireless PHY Encoding Using Virtual Parameters
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently transmitting data due to constraints such as the integer NDBPS and integer NDBPS/NES constraints, which lead to exclusions of certain modulation and coding schemes (MCS) and result in non-smooth data rate adaptation and high throughput losses.
Innovation Solution
The proposed solution involves altering parsing and encoding techniques to accommodate system configurations that do not satisfy these constraints by using virtual encoding parameters, unequal bit distribution among encoders, and dynamic puncturing to ensure that the data stream fits within integer numbers of OFDM symbols, allowing for the inclusion of previously excluded MCSs and improving data rate adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional encoding schemes are used to satisfy integer NDBPS and integer NDBPS/NES constraints, then system reliability is improved, but data rate adaptation becomes non-smooth and throughput losses increase
Solution Approach 1:
The patent introduces virtual encoding parameters (virtual NDBPS, virtual NCBPS) that differ from true values to satisfy integer constraints during encoding. By changing the parameter values used for constraint satisfaction while maintaining the actual data transmission rate, the system achieves both reliability (constraint satisfaction) and smooth data rate adaptation (throughput optimization).
Solution Approach 2:
The patent uses virtual encoding parameters as an intermediary between the true encoding parameters and the integer constraints. These virtual parameters act as a mediator that allows the system to satisfy integer NDBPS and NDBPS/NES constraints without directly limiting the actual data rate, thus enabling both reliability and smooth throughput adaptation.
2Reliability
If certain MCSs are excluded to satisfy integer constraints, then encoding reliability is improved, but the number of available modulation and coding schemes decreases
Solution Approach 1:
By introducing virtual encoding parameters that satisfy integer constraints, the patent allows previously excluded MCSs to be included in the system. The virtual parameters enable constraint satisfaction without requiring MCS exclusion, thus improving adaptability while maintaining encoding reliability.
3Reliability
If padding bits are added to satisfy integer NDBPS constraints, then data stream integrity is improved, but transmission efficiency decreases
Solution Approach 1:
The patent uses virtual NDBPS parameters to calculate the required padding bits, which may differ from the true NDBPS. This parameter change allows for optimized padding that satisfies integer constraints while minimizing the number of padding bits added, thus maintaining data stream integrity while improving transmission efficiency.
Data Source
AI summary
In a method for generating a physical layer (PHY) data unit for transmission via a communication channel, information bits to be included in the PHY data unit are received. A number of padding bits are added to the information bits. The number of padding bits is determined based on respective virtual values of each of one or more encoding parameters. The information bits are parsed to a number of encoders and are encoded, using the number of encoders, to generate coded bits. The coded bits are padded such that padded coded bits correspond to respective true values of each of the one or more encoding parameters. The PHY data unit is generated to include the padded coded bits.