Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration

Area of Science:

• Electrical Engineering
• Computer Science
• Telecommunications

Background:

• The Internet of Things (IoT) is expanding into diverse applications like smart cities and industries.
• Low Power Wide Area Networks (LPWAN) are crucial for IoT, offering low power consumption, long range, and scalability.
• LPWAN technologies face physical layer challenges such as interference and low data rates.

Purpose of the Study:

• To survey the potential of integrating Cognitive Radio (CR) into LPWAN for IoT applications.
• To provide a holistic overview of CR in LPWAN, emphasizing its benefits for IoT.

Main Methods:

• Review of state-of-the-art LPWAN technologies.
• Analysis of LPWAN standardization bodies and their stance on CR integration.
• Presentation of a physical layer front-end model for CR in LPWAN.
• Discussion of benefits and challenges of CR-LPWAN for IoT.

Main Results:

• CR offers a potential solution to physical layer challenges in LPWAN.
• Integration of CR can enhance the performance and efficiency of IoT applications.
• Standardization bodies are increasingly considering CR integration in LPWAN.

Conclusions:

• CR-LPWAN integration holds significant promise for advancing IoT applications.
• Addressing research challenges is key to realizing the full potential of CR-LPWAN.
• This survey highlights the benefits and future directions for CR in LPWAN for IoT.