Long Training Sequence Mapping for Device Identification
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Solution Overview
Problem
Current communications systems face limitations in distinguishing multiple receive ends due to the limited number of bits in the partial association identifier field, leading to increased device burden and hardware resource waste, especially in scenarios like D2D communication where the partial association ID field may be set to all zeros, hindering efficient data packet processing.
Innovation Solution
A data transmission method that employs a long training sequence set with unique sequences for each receiving device, where the transmitting device determines a mapping relationship between the sequences and identity information, and encapsulates data with a target long training sequence to indicate the intended receiving device, reducing the need for unnecessary parsing and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a partial association identifier field with limited bits is used to identify receiving devices, then communication efficiency is improved for a small number of devices, but the system cannot distinguish more than 500 receive ends, limiting scalability
Solution Approach 1:
The patent segments the device identification into two parts: a first sub-identity information (carried by long training sequence) and a second sub-identity information (carried by partial association identifier field). This segmentation allows the system to combine both identification mechanisms, achieving both efficient identification for small-scale systems and scalability for large-scale systems.
Solution Approach 2:
The patent introduces an additional identification dimension by using long training sequences alongside the traditional partial association identifier field. This adds a new layer of identification capability, transforming the system from a single-dimension identification approach to a multi-dimensional approach, thereby significantly increasing the number of distinguishable devices.
2Measurement precision
If MAC layer parsing is performed on every received data packet to identify the target receive end, then accurate identification is achieved, but device burden is increased and hardware resources are wasted
Solution Approach 1:
The patent performs preliminary identification at the physical layer using long training sequences before MAC layer parsing. Receiving devices can quickly determine whether they are the target by matching the long training sequence, and only perform energy-consuming MAC layer parsing when necessary. This preliminary action significantly reduces device burden and energy consumption.
Solution Approach 2:
The patent replaces the mechanical MAC layer parsing operation with an optical/physical layer identification mechanism using long training sequences. This substitution allows identification to occur earlier in the signal processing chain, before full packet reception and decoding, thereby reducing the computational burden and hardware resource usage.
3Adaptability or versatility
If the partial association ID field is set to all zeros in D2D communication, then communication flexibility is maintained, but the identification function cannot be brought into play
Solution Approach 1:
The patent introduces long training sequences as an intermediary identification mechanism that works independently of the partial association ID field. Even when the partial association ID field is set to all zeros in D2D communication, the long training sequence carries the first sub-identity information, ensuring that the identification function remains effective while maintaining communication flexibility.
Data Source
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AI summary
A data transmission method and apparatus are provided, which can reduce burden of a receiving device, reduce waste of hardware resources, and improve user experience. The method includes: determining, by a transmitting device, a long training sequence set, where the long training sequence set includes at least two long training sequences; determining a mapping relationship between each long training sequence in the long training sequence set and first sub-identity information in identity information of each receiving device in a communications system; when data needs to be transmitted to a target receiving device, selecting a target long training sequence from the long training sequence set according to first sub-identity information of the target receiving device and the mapping relationship; performing encapsulation processing on the data according to the target long training sequence to generate a data packet, so as to carry the target long training sequence in the data packet; and sending the data packet to the target receiving device, so that the target receiving device processes the data packet according to the target long training sequence after acquiring the target long training sequence from the data packet.