An interference management system for a shared spectrum access network

Atimati, Ehinomen and Crawford, David and Stewart, Robert and Achumba, Ifeyinwa and Ezema, Longinus and Diala, Uchenna; Okafor, Kennedy Chinedu and Achumba, Ifeyinwa E. and Adeshina, Steve A. and Longe, Omowunmi Mary and Nasir, Faruk and Ayogu, Ikechukwu Ignatius, eds. (2022) An interference management system for a shared spectrum access network. In: 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON). IEEE, Piscataway, N.J., pp. 1-5. ISBN 9781665479783 (https://doi.org/10.1109/nigercon54645.2022.9803165)

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Abstract

Internet access, in developing and underdeveloped countries, remains a huge challenge despite advancements in technology. Shared resources, amongst telecommunication systems, offer an affordability context to this problem. A shared spectrum interference management system is implemented by designing a geolocation database, for a television white space network, for a location in Nigeria. This is achieved using the Dynamic Spectrum Alliance framework (a rarely used methodology) and robust terrain-based propagation models. The designed spectrum coexistence manager (geolocation database) was created, presented, and evaluated, based on its channel availability, predictions, and ability to protect very weak TV signals. The result showed a 15% channel utilization of Analogue and Digital Terrestrial Television channels within the study area. Finally, key components of the framework, that can be adopted for further studies, were identified.

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