Zero-Power Wireless Communication With Index-Based Repetition Coding
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Solution Overview
Problem
Zero-power devices suffer from poor data transmission performance, which hinders their widespread adoption and efficient operation in various communication systems.
Innovation Solution
Implementing repetition encoding and decoding methods in zero-power devices to enhance data transmission performance, utilizing a processor and memory to execute computer programs for encoding and decoding sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If repetition encoding is implemented in zero-power devices, then data transmission reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple candidate sequences before transmission. The sending device selects one candidate sequence from the pre-defined set and transmits its index, rather than transmitting the entire sequence. This allows the receiving device to reliably reconstruct the original data by looking up the transmitted index in the pre-shared candidate sequence set, thereby improving data transmission reliability while keeping device complexity low.
Solution Approach 2:
The patent uses copying by creating multiple candidate sequences that are variations or copies of the original data sequence. Instead of transmitting redundant copies of the entire data, the system transmits an index pointing to one of the pre-defined candidate sequences. The receiving device uses this index to copy and retrieve the correct sequence from the local candidate set, achieving reliable transmission with minimal transmitted data.
2Reliability
If repetition decoding is implemented in zero-power devices, then data transmission performance is enhanced, but processing requirements increase
Solution Approach 1:
The receiving device performs preliminary action by pre-storing multiple candidate sequences locally before reception. When a transmission is received, the device simply compares the received index against the pre-stored candidate sequences and retrieves the matching sequence. This eliminates the need for complex real-time decoding or error correction algorithms, enhancing data transmission performance while keeping processing requirements minimal.
Solution Approach 2:
The decoding process uses copying by having the receiving device maintain local copies of all candidate sequences. Upon receiving an index, the device copies the corresponding sequence from its local storage rather than reconstructing it through complex calculations. This approach enhances transmission performance by enabling rapid, accurate retrieval while minimizing processing demands.
3Object-affected harmful factors
If sequence encoding is used in zero-power devices, then noise resistance is improved, but communication overhead increases
Solution Approach 1:
The patent applies copying by pre-defining multiple candidate sequences at both sending and receiving devices. Instead of transmitting redundant information or performing complex error correction coding, the system transmits only a compact index pointing to one of the pre-defined candidate sequences. The receiving device copies the corresponding sequence from its local storage, achieving noise resistance through the inherent redundancy of the candidate sequence set while minimizing communication overhead.
Solution Approach 2:
The patent uses parameter changes by transforming the representation of data from direct sequence transmission to index-based transmission. By changing the parameter being transmitted from the full sequence to a compact index value, the system achieves noise resistance through the structure of candidate sequences while significantly reducing communication overhead. The receiving device uses this index parameter to retrieve the correct sequence from its local candidate set.
Data Source
AI summary
Embodiments of the present disclosure provide a wireless communication method and a zero-power device. The method includes the following. A second sequence is obtained by performing repetition encoding based on a first sequence to be encoded.