Malik, Hassan and Shah, Syed and Haider, Syed Kamran and Shawky, Mahmoud A and Ullah, Insaf (2026) A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for 6G IoT Using RedCap. In: 2026 IEEE Wireless Communications and Networking Conference (WCNC), 2026-04-13 - 2026-04-16, Kuala Lumpur, Malaysia. (In Press)
Malik, Hassan and Shah, Syed and Haider, Syed Kamran and Shawky, Mahmoud A and Ullah, Insaf (2026) A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for 6G IoT Using RedCap. In: 2026 IEEE Wireless Communications and Networking Conference (WCNC), 2026-04-13 - 2026-04-16, Kuala Lumpur, Malaysia. (In Press)
Malik, Hassan and Shah, Syed and Haider, Syed Kamran and Shawky, Mahmoud A and Ullah, Insaf (2026) A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for 6G IoT Using RedCap. In: 2026 IEEE Wireless Communications and Networking Conference (WCNC), 2026-04-13 - 2026-04-16, Kuala Lumpur, Malaysia. (In Press)
Abstract
5G 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 5G 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 enti- ties—specifically the Network Exposure Function (NEF), Policy Control Function (PCF), and Session Management Function (SMF). This software-driven approach aligns well with the 6G 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 energy-efficiency 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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: _not provided_ |
| Uncontrolled Keywords: | 5G RedCap; LPWAN-as-a-Service; NB-IoT; LTE-M; URLLC; 6G-IoT connectivity |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 01 Apr 2026 12:36 |
| Last Modified: | 01 Apr 2026 12:36 |
| URI: | http://repository.essex.ac.uk/id/eprint/42857 |
Available files
Filename: WCNC_2026.pdf
Licence: Creative Commons: Attribution 4.0