M-ary Aggregate Spread Pulse Modulation in LPWANs for IoT applications
Alexei V. Nikitin, Ruslan L. Davidchack

TL;DR
This paper explores M-ary Aggregate Spread Pulse Modulation (ASPM) for LPWANs, demonstrating how M-ary encoding enhances energy efficiency and range, offering flexible trade-offs among data rate, energy, and system complexity for IoT applications.
Contribution
It introduces M-ary encoding in ASPM, providing a new method to optimize energy efficiency and range in LPWANs for IoT, with a focus on physical layer properties.
Findings
M-ary ASPM improves energy per bit performance.
M-ary ASPM extends communication range.
Trade-offs between spectral efficiency and energy efficiency are demonstrated.
Abstract
In low-power wide-area networks (LPWANs), various trade-offs among the bandwidth, data rates, and energy per bit have different effects on the quality of service under different propagation conditions (e.g. fading and multipath), interference scenarios, multi-user requirements, and design constraints. Such compromises, and the manner in which they are implemented, further affect other technical aspects, such as system's computational complexity and power efficiency. At the same time, this difference in trade-offs also adds to the technical flexibility in addressing a broader range of IoT applications. This paper addresses a physical layer LPWAN approach based on the Aggregate Spread Pulse Modulation (ASPM) and provides a brief assessment of its properties in additive white Gaussian noise (AWGN) channel. In the binary ASPM the control of the quality of service is performed through the…
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Taxonomy
TopicsIoT Networks and Protocols · Wireless Body Area Networks · Bluetooth and Wireless Communication Technologies
Methodstravel james
