Serial Shaping Code Processing for Complete Wireless Bit Transmission
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Solution Overview
Problem
Existing wireless communication systems face performance degradation due to the omission of information bits during bit-level encoding, leading to unknown bits and log-likelihood ratio issues, which affect transmit power and overall system performance.
Innovation Solution
A device performs bit shaping using serial processing, generating multiple sets of shaping bits for subsets of information bits, encoding each subset sequentially to prevent the omission of information bits and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If bit-level encoding is performed in existing wireless communication systems, then transmit power optimization is achieved, but information bits are omitted leading to unknown bits and log-likelihood ratio issues
Solution Approach 1:
The information bits are divided into multiple subsets, with each subset processed separately through its own encoder and shaping code generator. This segmentation ensures that no information bits are omitted during encoding, as each subset is fully processed and transmitted. The segmentation resolves the contradiction by maintaining complete information transmission while enabling power optimization through selective shaping code application on each subset.
Solution Approach 2:
Shaping codes are generated in advance for each subset of information bits before the actual transmission encoding. This preliminary generation of shaping codes allows the system to optimize transmit power by carefully selecting and applying appropriate shaping codes to each subset, ensuring complete information bit transmission while achieving power efficiency. The preliminary action prevents information loss by preparing all necessary shaping codes beforehand.
2Use of energy by moving object
If shaping codes are applied to optimize transmit power, then power consumption is reduced, but system complexity increases due to multiple encoders and decoders
Solution Approach 1:
The encoding system is segmented into multiple independent encoder-decoder pairs, each handling a specific subset of information bits. While this increases the number of components, each segment operates independently with optimized shaping code generation, allowing power consumption to be reduced through selective application of shaping codes. The segmentation manages complexity by distributing the processing load across multiple simpler, independent units rather than one complex monolithic system.
Solution Approach 2:
Shaping codes are applied selectively to subsets of information bits rather than to all bits uniformly. This partial application of shaping codes optimizes power consumption by focusing computational resources only where needed for power efficiency, rather than applying complex encoding to every bit. The selective approach reduces overall power consumption while managing system complexity through targeted rather than universal application of shaping codes.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. The described techniques provide for a device to generate, using a first decoder of the device, a first set of shaping bits associated with a first subset of information bits. The device may generate, using a second decoder of the first device, a second set of shaping bits based at least in part on a first set of concatenated bits. The first set of concatenated bits may include the first set of shaping bits and a second subset of the information bits. The device may apply mask vectors to the first subset of the information bits to obtain a first set of shaped bits and a second set of shaped bits. The device may transmit, based on applying the mask vectors, a message including the first set of shaped bits and the second set of shaped bits.