Evaluation of 5G-Enabled Resource Allocation for Smart LED Streetlight Infrastructure

Authors

• Ahmed Hassebo, CUNY New York City College of TechnologyFollow
• Yasser Hassebo, CUNY La Guardia Community CollegeFollow

Document Type

Article

Publication Date

3-27-2026

Abstract

The proliferation of 5G networks facilitates high-speed, low-latency communication essential for the advancement of smart city infrastructure. This research investigates the performance of 5G enabled connectivity for smart LED streetlight systems, focusing on resource allocation strategies between mission-critical and latency-tolerant services. Utilizing MATLAB simulations, the study evaluates network slicing and scheduling algorithms through key performance indicators (KPIs) including throughput, end-to-end delay, and Packet Error Rate (PER). The proposed framework integrates dynamic scheduling mechanisms—analogous to LTE uplink protocols—to optimize energy efficiency and data responsiveness across large-scale urban lighting deployments. Empirical results indicate that 5G Ultra-Reliable Low-Latency Communication (URLLC) effectively supports real-time control for lighting and emergency response scenarios, while Enhanced Mobile Broadband (eMBB) manages non-critical background operations. Ultimately, this study confirms that 5G integration enhances performance stability and service differentiation, offering a robust and scalable architecture for future smart city ecosystems.

Comments

Hassebo, A., & Hassebo, Y. (2026, March), Evaluation of 5G-Enabled Resource Allocation for Smart LED Streetlight Infrastructure Paper presented at 2026 ASEE- NE Section Conference, Southern New Hampshire University, New Hampshire. 10.18260/1-2--58586, ©American Society for Engineering Education, 2026