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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • University of Jyväskylä


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.


Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
EditorsOlga Galinina, Sergey Andreev, Yevgeni Koucheryavy, Sergey Balandin
Publication statusPublished - 1 Jan 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems - St. Petersburg, Russian Federation
Duration: 26 Aug 201928 Aug 2019
Conference number: 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11660 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems
Abbreviated titleNEW2AN
CountryRussian Federation
CitySt. Petersburg

    Research areas

  • Area capacity, Coexistence management, Cognitive radio, Spectrum sharing, Throughput, TV white space

ID: 38271044