Semnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07866320260901Compact Wide-Band and Narrow-Band Microstrip Bandpass Filters Using the LC Equivalent Model181058810.22075/mseee.2026.40492.1251ENMortezaKhajaviDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan, Iran.EbrahimFarshidiDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan, Iran.MohammadSorooshDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan, Iran.ShahrzadAjabiDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Khuzestan, Iran.Journal Article20260205This paper presents an improved design methodology for developing two types of microstrip bandpass filters, a narrowband filter and a wideband filter, employing stepped-impedance resonators (SIRs) and parallel stubs. The fundamental resonator integrates two parallel stubs and a centrally located air gap within a stepped-impedance structure. The corresponding even- and odd-mode capacitances are evaluated, and an additional SIR is coupled to the primary resonator to achieve the desired bandpass response through dimensional optimization. To verify the electromagnetic simulation results, an equivalent LC circuit model is extracted and analyzed, demonstrating strong agreement with the full-wave response. Owing to its compact geometry and structurally efficient configuration, the proposed filter is well suited for integrated microwave systems. The wideband implementation is designed to operate at a center frequency of 10.02 GHz, exhibiting an insertion loss of 1.03 dB, a return loss of 30.1 dB, and 1.33 GHz bandwidth. In contrast, the narrowband design achieves a center frequency of 2.4 GHz with an insertion loss of 0.15 dB, a return loss of 26.26 dB, and 102 MHz bandwidth.https://mseee.semnan.ac.ir/article_10588_7d1cc20770b846877028bc421252dad2.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07866320260901An Intelligent Handover Optimization Framework for Signaling Storm Reduction in 5G–Satellite Integrated Networks9181067710.22075/mseee.2026.40671.1256ENMarjanKeramatiFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.Journal Article20260221Low Earth Orbit (LEO) satellite networks have become an essential component of 5G and beyond non-terrestrial networks, as they enable low-latency communication and broad geographic coverage. Nevertheless, the rapid movement of LEO satellites introduces frequent handovers, substantial signaling overhead, and uneven load distribution, all of which can disrupt service continuity, particularly in scenarios involving large populations of user terminals. To address these challenges, this paper proposes a meta-heuristic-based multi-objective group handover optimization framework for LEO satellite systems. Unlike existing approaches, the proposed method jointly optimizes handover decisions at the group level while explicitly considering the RVT of satellites to ensure more stable and efficient connectivity. The simulation results show that the proposed approach effectively decreases unnecessary handovers (30%), alleviates signaling storms (70%), balances satellite loads more efficiently (10%), and prolongs the effective connectivity duration when compared with conventional baseline schemes. These findings validate the proposed framework as a more efficient solution for mobility management in highly dynamic LEO satellite network environments.https://mseee.semnan.ac.ir/article_10677_ab404eaf68b18aafb569a661f5f4caae.pdf