A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for $\mathbf{6 G}$ IoT Using RedCap
Year: 2026
Type: conference-paper
Abstract: G Reduced Capability (RedCap) is a promising technology introduced to bridge the gap between legacy LPWAN technologies (i.e., NB-IoT, LTE-M, URLLC) and full 5G NR. However, 5G RedCap operates with fixed radio parameters and cannot dynamically adapt to changing service requirements. This paper proposes a Unified LPWAN-as-a-Service (ULaaS) framework that leverages existing provision of 5 G NR to optimize the RRC parameters, such as bandwidth part, power class, antenna configuration, and modulation scheme, to support legacy LPWAN technologies-inspired operational behaviours within a Single 5G RedCap device and policy-driven network architecture. The framework enables multi-persona operation by dynamically changing configurations through standard 5G management entities-specifically the Network Exposure Function (NEF), Policy Control Function (PCF), and Session Management Function (SMF). This software-driven approach aligns well with the 6 G design principles of intelligent control, hardware reuse, and resource-efficient networking, enabling the sustainable and intelligent Green Internet of Things. The implementation of ULaaS is realized on MATLAB-based waveform-assisted evaluation to demonstrate that the adaptive RedCap parameter tuning can effectively approximate the latency, throughput, and energyefficiency behavior of legacy LPWAN technologies. The results show that ULaaS can serve as a unified layer that enhances RedCap's flexibility for heterogeneous IoT deployments.
Language: English
Topic: IoT Networks and Protocols
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7165048841