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Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2019, ruSMART 2019)

Abstract

Expansion of modern wireless communication technologies have led to spectrum scarcity due to inefficient spectrum utilization by conventional TV broadcasting technologies. While the transition of television from analogue to digital leaves an unused spectrum aka white space (WS). A need for a sophisticated coexistence mechanism observe to enable smooth operation of unlicensed secondary systems in TVWS sub-one-gigahertz (Sub-1GHz). To that end, this paper proposes a two-step algorithm to enables an efficient coexistence mechanism among cells in TVWS. This approach assumes a WS geo-location database (WSDB) as central entity allowing a new cell to operate in a given geographic area. When a new cell query is sent to WSDB, it ensures that the new cell will not overlap with already-deployed cells. This enables the cells to be in coexistence with neighbouring cells without interfering each other transmissions. Simulation results show that the proposed algorithm enables enhanced performance gains in terms of cell density and area capacity. The required cell density is notably increased in a given geographic area leading to improved area capacity while it also ensures the efficient TVWS utilization among cells.

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Acknowledgement

This work supported by the Academy of Finland (grant no. 284634) and Business Finland (grant no. 1916/31/2017).

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Correspondence to Muhammad Zeeshan Asghar .

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Ullah, I., Mutafungwa, E., Asghar, M.Z., Hämäläinen, J. (2019). Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-30859-9_19

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