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    <title>DSpace Collection: Telecommunication Engineering</title>
    <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/45</link>
    <description>Telecommunication Engineering</description>
    <pubDate>Thu, 17 Sep 2026 05:52:56 GMT</pubDate>
    <dc:date>2026-09-17T05:52:56Z</dc:date>
    <item>
      <title>Integrated Mode Selection and Bandwidth Allocation Scheme for Interference Mitigation in D2D Networks</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31830</link>
      <description>Title: Integrated Mode Selection and Bandwidth Allocation Scheme for Interference Mitigation in D2D Networks
Authors: Ameh, Innocent Ameh; USMAN, Abraham Usman; Mohammed, Abubakar Sadiq; Salihu, Bala Alhaji
Abstract: As the steep growth in mobile data traffic continues to gain lots of attention in recent years,&#xD;
discussions Of the next generation Of mobile networks - the fifth generation (5G), have gained&#xD;
significant traction both in the academia and industry. In addition to more capacity, stringent&#xD;
requirements for improving energy efficiency, decreasing delays, and increasing reliability have&#xD;
been envisioned in 5G. Many solutions have been putforward, one of them being Device-to-Device&#xD;
(D2D) communications where users in proximity can communicate direclly With one another.&#xD;
Interference management between Cellular User Equipment (CUE) and D2D user Equipment (DUE)&#xD;
is one of the most critical issues when D2D is introduced to cellular network because D2D users&#xD;
share the same licensed spectrum with cellular users. This work considers an overlaying network&#xD;
scenario where a Mode Selection and Bandwidth Allocation Scheme (MS-BAS) is developed to&#xD;
mitigate cross-tier interference, while delivering an average data rate of more than 50 Mbps across&#xD;
the network, indicating an over 12% improvement when compared with the existing Selective Overlay&#xD;
Mode Operation (SOMO). The results obtained show Ihe encacy Of Ihe algorithm in significantly&#xD;
mitigating Cross tier interference in the network</description>
      <pubDate>Sun, 02 Jan 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31830</guid>
      <dc:date>2022-01-02T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Sub-6 GHz Millimeter-Wave Metamaterial Antenna with Reconfigurable Radiation Patterns for Enhanced Wireless Communication</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31829</link>
      <description>Title: Sub-6 GHz Millimeter-Wave Metamaterial Antenna with Reconfigurable Radiation Patterns for Enhanced Wireless Communication
Authors: LAWAL, Abubakar; Abdulkadir, O. ABDULBAKI; SALAWU, Nathaniel; Bala, A. SALIHU; Mamman, A. THOMAS; Abraham, U. USMAN
Abstract: 6G has been envisioned to utilize the upper mmWave (90-300 GHz) and Terahertz bands (0.1-10 THz). At such high frequencies, high path loss and atmospheric absorption are critical challenges. A highly directional and reconfigurable antenna is required to mitigate these challenges. This research presents a novel, pattern-reconfigurable metamaterial-based antenna for sub-6 GHz mmWave applications. The antenna is based on a graphene metasurface loaded with a novel square-spherical split ring resonator, positioned above a rectangular microstrip patch antenna to provide absorption of unwanted signals and improve gain and spectral efficiency. Placed under the patch is Rogers 5800 substrate with permittivity (ε) of 2.0 and thickness of 0.1mm. The antenna operates between 90-120 GHz, spanning the 102-109 GHz, adopted at the World Radio Congress 2023 for advanced use cases of 6G, and was simulated using the CST suite. The main beam is pattern-reconfigured by two bipolar junction diodes (d1, d2) embedded on the patch antenna. The diodes reconfigure the radiation pattern and affect the S11 reflection coefficient. Specifically, d1 switches between 90-98 GHz, obtaining a minimum S11 of -70.7 dB at 97.5 GHz, while d2 switches between 98-120 GHz, realizing a minimum S11 of -69.6 dB at 105.4 GHz. When fully loaded, a -64.5 dB was obtained, better than similar work compared. These S11 values indicate exceptional impedance matching and minimal signal reflection. The proposed antenna introduces a novel design that integrates a square-spherical split ring resonator with a graphene metasurface, achieving dynamic pattern reconfigurability and deep S11 nulls in a compact structure. The antenna is compact, has a wide bandwidth, and can perform efficiently in 6G use cases, including holographic presence, and smart transport, among others require high radiation efficiency. Real-world use cases include holographic presence, smart mobility, and on-chip THz systems, where beam reconfigurability and low reflection loss are critical.</description>
      <pubDate>Wed, 03 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31829</guid>
      <dc:date>2025-12-03T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31828</link>
      <description>Title: Integrating Wireless Sensor Networks and IoT for Intelligent Power Line Monitoring: A Theoretical Review of the Power Line Monitoring Systems Framework
Authors: Salihu, Bala Alhaji; Abdulkadir, Abdulbaki; Stephen, Seyi Oyewobi; Zubair, Suleiman; Jibril, Attahiru Muhammad
Abstract: The persistent challenges of fault detection, downtime, and infrastructure vulnerability in sub-Saharan Africa's power grids necessitate a shift toward intelligent, distributed monitoring systems. This theoretical review investigates the foundational models and frameworks underpinning the Distributed Power Line Monitoring System (PoLiMoS), with a specific focus on enhancing fault detection, predictive maintenance, and operational resilience in sub-Saharan Africa's power grids, a wireless sensor and IoT-based platform designed for predictive maintenance and real-time monitoring of overhead power lines. It explores critical domains including Wireless Sensor Networks (WSNs), Internet of Things (IoT) architectures, predictive maintenance, smart grid reliability engineering, human–machine interaction, edge computing, and energy harvesting, to evaluate the feasibility of a decentralised, solar-powered, and cloud-integrated monitoring framework. The study critically evaluates each theoretical model’s strengths, limitations, and applicability within the PoLiMoS context, especially in rural or resource-constrained environments. Findings reveal that while robust theoretical support exists for decentralised sensing, cloud analytics, and edge intelligence, practical deployment demands adaptations in energy management, environmental resilience, and cybersecurity. Lightweight predictive models such as Bayesian Linear Regression are identified as more suitable for real-time edge processing in PoLiMoS compared to computationally intensive deep learning alternatives. Furthermore, the system's reliance on solar-powered sensor nodes and rugged hardware enclosures aligns with environmental adaptation theory for deployment in harsh climates. This review not only validates PoLiMoS’ multidisciplinary foundation but also highlights critical gaps in existing frameworks particularly in long-term reliability, cost-efficiency, and contextual scalability, paving the way for future hybrid architectures tailored to developing regions.</description>
      <pubDate>Thu, 02 Oct 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31828</guid>
      <dc:date>2025-10-02T00:00:00Z</dc:date>
    </item>
    <item>
      <title>An Edge-Enabled Multimodal Cyber-Physical System for Near-Real-Time Intrusion Detection in Fiber-Optic Networks</title>
      <link>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31827</link>
      <description>Title: An Edge-Enabled Multimodal Cyber-Physical System for Near-Real-Time Intrusion Detection in Fiber-Optic Networks
Authors: Zubair, Suleiman; Abdulazeez, Hassan; Salihu, Bala Alhaji; Umar, Mani; Ojo-Arome, Paul Innocent
Abstract: Fiber-optic backhaul and access networks remain vulnerable to excavation, vandalism, cable pulling, and other physical disturbances, particularly in remote deployments where continuous cloud connectivity and expensive optical interrogators are impractical. This paper presents FOC-IDS, an edge-enabled multimodal cyber-physical intrusion detection system designed for low-infrastructure en- vironments. The proposed architecture integrates vibration, acoustic, temperature, and humidity sens- ing with an ESP32-based support vector machine (SVM), confidence-aware node consensus, and GSM-SMS alerting. Unlike conventional OTDR- or DAS-based approaches, FOC-IDS emphasizes offline-first operation, low deployment cost, and lightweight edge inference. Field data collected in Minna, Nigeria, were used to train and evaluate the system under realistic environmental conditions. On a held-out test set, FOC-IDS achieved 98.03% accuracy, 1.00 precision for the intrusion class, 0.95 recall, and an AUC-ROC of 0.992, with a mean end-to-end response latency of 6.45 s. Consistent with the measured latency, the system is characterized as near-real-time rather than strict real-time. Ablation experiments further demonstrate that full multimodal fusion outperforms unimodal and dual-modal configurations, while a humidity-adaptive decision rule improves intrusion recall under heavy rain by 9.1 percentage points. The paper additionally discusses reproducibility, deployment constraints, cross- site generalization limitations, and alignment with IEC 62443-oriented security principles. Overall, the proposed system provides a practical and standards-aware framework for protecting fiber-optic infra- structure in connectivity-constrained environments.</description>
      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31827</guid>
      <dc:date>2026-05-08T00:00:00Z</dc:date>
    </item>
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