A4 Article in conference proceedings
Coexistence management approach for densification of randomly deployed low power nodes in TVWS spectrum (2019)

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 O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), NEW2AN 2019, ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : Proceedings of the 19th International Conference on Next Generation Wired/Wireless Networking, and 12th Conference on Internet of Things and Smart Spaces (pp. 220-232). Springer. Lecture Notes in Computer Science, 11660. https://doi.org/10.1007/978-3-030-30859-9_19

JYU authors or editors

Publication details

All authors or editors: Ullah, Inam; Mutafungwa, Edward; Asghar, Muhammad Zeeshan; Hämäläinen, Jyri

Parent publication: NEW2AN 2019, ruSMART 2019 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems : Proceedings of the 19th International Conference on Next Generation Wired/Wireless Networking, and 12th Conference on Internet of Things and Smart Spaces

Parent publication editors: Galinina, Olga; Andreev, Sergey; Balandin, Sergey; Koucheryavy, Yevgeni

Place and date of conference: St.Petersburg, Russia, 26.-28.8.2019

ISBN: 978-3-030-30858-2

eISBN: 978-3-030-30859-9

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2019

Number in series: 11660

Pages range: 220-232

Number of pages in the book: 759

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

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

Publication open access: Not open

Publication channel open access: 

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.

Keywords: wireless data transmission; frequency bands; cognitive radio

Free keywords: coexistence management; TV white space; spectrum sharing; throughput; area capacity; cognitive radio

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1