Utochukwu Ogbodo, EmmanuelEmmanuelUtochukwu OgbodoJasperneite, JürgenJürgenJasperneiteMendes, Luciano LeonelLuciano LeonelMendesNeumann, ArneArneNeumannKurien, AnishAnishKurienAbu-Mahfouz, AdnanAdnanAbu-Mahfouz2025-10-272025-10-272025https://publica.fraunhofer.de/handle/publica/49773410.1109/ETFA65518.2025.11205758With the increasing adoption of 5G networks in smart cities and Industry 4.0 applications, energy efficiency (EE) has become a critical concern, particularly for industrial Internet of Things (IIoT) devices that operate continuously in latency-sensitive environments. This paper presents a novel Paging Signal-Aware Ordered Statistical Decoding (PS-Aware OSD) algorithm to optimize energy use during paging operations. By intelligently predicting paging occasions (PO) based on historical patterns, the algorithm reduces unnecessary wake-ups in extended discontinuous reception (eDRX) cycles. Simulations demonstrate that this approach improves energy efficiency by up to 40%, reduces block error rate (BLER), and improves throughput and latency compared to standard third-generation partnership project (3GPP) paging techniques. The paper discusses practical implementation aspects, acknowledges system limitations, and proposes future work, including the integration of machine learning for dynamic paging optimization and the development of security measures against spoofing or unnecessary battery drain.en5G mobile communicationSmart citiesPrediction algorithmsThroughputEnergy efficiencySecurityStandardsOptimizationManufacturing automationIndustrial Internet of Things5G RedCapBLERCyber-Physical SystemsEnergy EfficiencyExtended Discontinuous ReceptionsIndustrial CommunicationPaging OccasionsPaging SignalPhysical Downlink Control ChannelPS-Awareconference paper