| Author: | Yu, Shiming |
| Title: | Towards next-generation LoRaWAN : scalable IoT connectivity via massive logical channels |
| Advisors: | Zheng, Yuan-qing (COMP) |
| Degree: | Ph.D. |
| Year: | 2026 |
| Department: | Department of Computing |
| Pages: | xx, 141 pages : color illustrations |
| Language: | English |
| Abstract: | The Internet of Things (IoT) has rapidly expanded across diverse domains such as smart agriculture, environmental monitoring, and industrial automation, driving the need for scalable, energy-efficient, and long-range wireless communication technologies. LoRa, a leading Low-Power Wide-Area Network (LPWAN) technology, has emerged as a promising solution due to its ability to support long-distance communication with minimal energy consumption. Leveraging unlicensed spectrum and a star-of-stars network topology, LoRaWAN enables cost-effective deployment and massive device connectivity. However, as IoT networks scale to city-wide deployments, existing LoRaWAN infrastructures face significant challenges in maintaining reliable and efficient communication. This thesis addresses three critical challenges that hinder the scalability of current LoRaWAN systems: (1) the inflexibility of existing gateways in supporting massive concurrent transmissions across logical channels; (2) the near-far effect that breaks the presumed orthogonality among logical channels; and (3) the downlink-uplink asymmetry that limits the support for emerging bidirectional IoT applications. To tackle these issues, this dissertation proposes a suite of novel system-level solutions. First, XGate introduces a software-defined gateway architecture that dynamically detects and receives packets across thousands of logical channels, achieving 8.4× higher concurrency than state-of-the-art. Second, Canas pioneers a logical channel interference cancellation technique that reconstructs and subtracts interfering signals to restore practical orthogonality, enabling 2.3× improvement in concurrent transmissions under near-far conditions. Third, FDLoRa presents a full-duplex gateway and concurrent downlink framework that breaks the sequential downlink bottleneck, achieving 5.7× higher downlink capacity and 2.58× greater per-gateway concurrency. In summary, this thesis makes significant contributions to the design and implementation of next-generation LoRaWAN systems. It introduces the first practical solutions for scalable logical channel reception, interference cancellation, and concurrent downlink transmission, all validated through extensive real-world experiments and trace-driven evaluations. These innovations unlock the full potential of LoRaWAN for massive IoT deployments, offering a robust foundation for future research and development in wide-area, low-power wireless networking. |
| Rights: | All rights reserved |
| Access: | open access |
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