Low-Power Low-Rate Data Frame Format for IoT Transmission
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Solution Overview
Problem
Existing wireless local area network (WLAN) technologies face challenges in providing low-power, low-rate data transmission with high reliability and low complexity, particularly for Internet of Things (IoT) devices that require efficient power consumption and coverage without the need for high data rates.
Innovation Solution
The implementation of a low-power-low-rate (LPLR) data frame format that includes a receiver and control circuitry to detect data frames with an LPLR preamble and data portion, occupying a bandwidth less than the allowed bandwidth, and utilizing modes such as mixed or single mode, with duplication in the frequency domain to enhance signal-to-noise ratio and power spectral density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a narrow bandwidth is used for LPLR transmission, then power consumption is reduced and coverage is extended, but data rate is limited
Solution Approach 1:
The data transmission is segmented into multiple LPLR data frames, each occupying a narrow bandwidth portion. This allows the system to maintain low power consumption and extended coverage while transmitting data in manageable segments that can be reassembled at the receiver, effectively resolving the contradiction between narrow bandwidth (low power) and data rate requirements.
2Length of stationary object
If a narrow bandwidth is used for LPLR transmission, then coverage is extended, but transmission reliability deteriorates due to lower signal-to-noise ratio
Solution Approach 1:
Multiple LPLR data frames occupying different bandwidth portions are merged at the receiver to form the complete data transmission. This combining approach increases the effective signal-to-noise ratio and transmission reliability while maintaining extended coverage through the use of narrow individual bandwidths.
Solution Approach 2:
The LPLR data frames are transmitted with redundancy and can be duplicated across multiple bandwidth portions. This copying approach ensures that even if some frames are lost or corrupted, the data can be recovered from duplicate transmissions, thereby improving reliability while maintaining coverage.
3Adaptability or versatility
If existing data frame structures are used, then compatibility is maintained, but power consumption is high and coverage is limited
Solution Approach 1:
The patent applies different frame structures to different scenarios: legacy frame structures are used where compatibility is required, while the new LPLR frame structure with narrow bandwidth is used where power efficiency and coverage are priorities. This local quality approach allows the system to optimize for specific requirements without sacrificing overall compatibility.
4Reliability
If duplication in frequency domain is implemented, then signal-to-noise ratio is improved, but device complexity increases
Solution Approach 1:
The LPLR data frames are transmitted periodically across different bandwidth portions in a structured sequence. This periodic transmission pattern simplifies the receiver's processing by allowing it to expect and process frames in a predictable sequence, thereby improving signal-to-noise ratio through frequency domain diversity while keeping device complexity manageable.
Data Source
AI summary
Embodiments described herein provides a system for detecting data received in a low power low rate (LPLR) data frame format. The system includes a receiver and control circuitry. The receiver is configured to receive a data frame comprising an LPLR preamble portion and an LPLR data portion following the LPLR preamble portion. The LPLR preamble portion and the LPLR data portion occupy a bandwidth that is less than an allowed bandwidth. The control circuitry is configured to determine a mode of the data frame based on whether the data frame has an additional portion, and detect a data field in the LPLR preamble portion from the data frame based on the mode of the data frame.