Distance-Dependent Wireless Data Exchange Using Spatial Modulation Zones
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Solution Overview
Problem
Conventional wireless communication systems transmit data uniformly across distances, leading to inefficiencies in data transfer rates and security, as devices beyond a certain range are unable to receive specific data types, despite being within communication range.
Innovation Solution
Implementing spatial zones of information transmission based on distance, where different data types are transmitted using varying modulation, demodulation, and encoding formats, with adjustable transmit power and bandwidth to ensure secure and efficient data exchange across different ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform data transmission is used across all distances, then communication simplicity is maintained, but data security and transmission efficiency deteriorate as devices beyond specific ranges can receive data they should not access
Solution Approach 1:
The patent applies local quality by transmitting different types of data with different modulation formats tailored to specific distance zones. Close-range devices receive highly modulated data (e.g., 64-QAM) while far-range devices receive less modulated data (e.g., BPSK), ensuring each device receives appropriate data types for its distance, thereby improving security without requiring complex centralized control.
Solution Approach 2:
The transmission space is segmented into multiple distance zones (near, mid, far range) with distinct data types and modulation formats for each zone. This segmentation allows the system to apply different transmission parameters to different spatial regions, enhancing security by preventing far-range devices from accessing close-range data types.
2Productivity
If high data transmission rates are used for close-range devices, then productivity is improved, but energy consumption increases
Solution Approach 1:
The patent dynamically changes transmission parameters (modulation format, data type) based on device distance. Close-range devices receive high-rate transmissions using complex modulation (64-QAM, 256-QAM) while far-range devices receive lower-rate transmissions using simpler modulation (BPSK, QPSK), optimizing the balance between productivity and energy consumption for each spatial zone.
3Productivity
If distance-dependent data transmission is implemented, then data security and efficiency are improved, but system complexity increases
Solution Approach 1:
The patent enables receiving devices to self-determine their distance zone and automatically request appropriate data types based on their spatial position. This self-service mechanism eliminates the need for complex centralized control systems to manage spatial zones, reducing overall system complexity while maintaining distance-dependent transmission benefits.
Data Source
AI summary
In one embodiment, a method includes identifying a first data type and a first communication range for transmitting data of the first data type. The method also includes transmitting data of the first data type to a first wireless communication device located within the first communication range. The data of the first data type is transmitted using a first bandwidth based on the first communication range, and the data of the first data type is not decodable by a second wireless communication device located beyond the first communication range.