Self-Tuning of Signal Detection Level for Energy Detection-Based Carrier Sense in Low-Power Wide-Area Networks

Area of Science:

• Wireless Communication
• Network Engineering
• Signal Processing

Background:

• Carrier sense mechanisms improve communication quality in decentralized networks by managing power consumption.
• Energy detection-based carrier sense offers superior performance over peak detection in low-power wide-area networks (LPWANs).

Purpose of the Study:

• To propose a self-tuning method for the signal detection level in energy detection-based carrier sense for sub-GHz band LPWANs.
• To optimize the balance between communication quality and energy consumption in LPWANs.

Main Methods:

• A novel self-tuning method adjusts the carrier sense level based on acknowledgment packet reception success probability.
• End devices autonomously derive their carrier sense level, requiring no changes to existing protocols.

Main Results:

• The proposed method allows devices with low reception probability to adopt lower carrier sense levels, and vice-versa.
• Numerical simulations demonstrate performance improvements for end devices experiencing high path loss to the gateway.

Conclusions:

• The autonomous, decentralized approach effectively enhances LPWAN performance by optimizing carrier sense levels.
• This method improves communication reliability and energy efficiency for devices in challenging signal environments.