Unified Connectivity in a Fragmented Market: The Clefa Modem Approach to Mobile Network Efficiency
Keywords:
Clefa Modem, Network Aggregation, Dual-SIM Alternative, Mobile Connectivity, Signal OptimizationAbstract
The rapid expansion of wireless mobile communications in Nigeria and other developing regions has exposed critical inefficiencies in network connectivity, particularly in rural and semi-urban areas. While dual-SIM technology has addressed some limitations by allowing multiple subscriptions within a single device, it remains constrained by hardware limitations and manual switching between networks. The Clefa Modem introduces a software-defined, signal-aggregating solution designed to unify mobile network access across major providers—including MTN, Glo, Airtel, and 9mobile—without relying on dual-SIM hardware. Field testing of the Clefa Modem prototype in 12 locations across both urban and rural Nigeria demonstrated average throughput of 28.5 Mbps, a switch latency of 134 milliseconds, and a signal retention duration exceeding 760 seconds, compared to dual-SIM benchmarks of 16.2 Mbps, 412 milliseconds, and 315 seconds respectively. The modem achieved a successful handover rate of 97.3% and operated with power efficiency of 0.62 Watts/hour, reflecting a 38% improvement over traditional devices. These results suggest that the Clefa Modem not only enhances user experience and connectivity resilience but also has the potential to reduce the reliance on dual-SIM hardware, lower device costs, and support national broadband access goals. This innovation offers a transformative approach to mobile network efficiency, positioning Africa as a source of cutting-edge, context-aware telecommunications solutions.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Most read articles by the same author(s)
- Israel Agbo-Adediran, Oluwafemi Clement Adeusi, Aminath Bolaji Bello, Oluwafemi Clement Adeusi, Oluwaseun Nifemi Afolabi, Analyzing the Impact of AI adoption and ICT Platforms in improving Customer Engagement of Small and Medium-Sized Enterprises (SMEs) , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
Similar Articles
- Anthony Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B., Hybrid Grey Wolf Optimization and Gorilla Troop Optimizer Algorithms in ANN for Short-Term Load Forecasting , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Babatunde Ogunyemi, COMPUTATIONAL DESIGN OF DIBENZO[a,c]QUINOXALINO(2,3-I) PHENAZINE AS ECO-FRIENDLY CORROSION INHIBITORS: A DFT AND MONTE CARLO SIMULATIONS STUDIES , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Israel Agbo-Adediran, Oluwafemi Clement Adeusi, Aminath Bolaji Bello, Oluwafemi Clement Adeusi, Oluwaseun Nifemi Afolabi, Analyzing the Impact of AI adoption and ICT Platforms in improving Customer Engagement of Small and Medium-Sized Enterprises (SMEs) , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Shehu Usman Gulumbe, Aminu Bello Zoramawa, Halilu Buhari Kware, Abdulkarim Bello, PKRIDS: A Real-Time Hybrid Host-Based Intrusion Detection System Using PCAmix, Kernel PCA, and Random Forest , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Ogochukwu Susan Ndibe, Precious Ogechi Ufomba, A Review of Applying AI for Cybersecurity: Opportunities, Risks, and Mitigation Strategies , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Egbuhuzor Udechukwu Peter, Okoro Enyinnaya Okoro, Enhancing Rainfall-Runoff Prediction Accuracy using Artificial Neural Networks: A Case Study of Bida, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Faith D. Olasunkanmi, Chidinma M. Dike, Ja’afaru Umma Hani, Taiwo Suliyat Mofoyeke, Esther Oshaji, Ijeoma Joy Nwajiaku, Oluwakemi Adesola, Adebayo Adegbenro, AI and ML Assessment of Performance-Based Financing Models in Health Care: A Review , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Prisca Ijeoma Okochi, Comfort C. Olebara, Generative Adversarial Network (Gans) For Realistic Digital Human Creation in Academia , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Udechukwu P. Egbuhuzor, On Radial Deformation of Incompressible Cylindrical Mooney-Rivlin Materials under Internal Pressure: Application of Collocation and Shooting Methods , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Reuben Oluwabukunmi David, Job Obalowu, Tasi’u Musa, Yahaya Zakari, Beyond Normality: OGELAD Error Distribution in Energy Prices Volatility Forecasting , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
You may also start an advanced similarity search for this article.