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

Inam Ullah; Edward Mutafungwa; Muhammad Zeeshan Asghar; Jyri Hämäläinen

doi:10.1007/978-3-030-30859-9_19

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

Inam Ullah, Edward Mutafungwa, Muhammad Zeeshan Asghar^*, Jyri Hämäläinen

^*Corresponding author for this work

Wireless & Mobile Communications

University of Jyväskylä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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.

Original language	English
Title of host publication	Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings
Editors	Olga Galinina, Sergey Andreev, Yevgeni Koucheryavy, Sergey Balandin
Publisher	Springer
Pages	220-232
Number of pages	13
ISBN (Print)	9783030308582
DOIs	https://doi.org/10.1007/978-3-030-30859-9_19
Publication status	Published - 1 Jan 2019
MoE publication type	A4 Conference publication
Event	International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems - St. Petersburg, Russian Federation Duration: 26 Aug 2019 → 28 Aug 2019 Conference number: 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11660 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems
Abbreviated title	NEW2AN
Country/Territory	Russian Federation
City	St. Petersburg
Period	26/08/2019 → 28/08/2019

Keywords

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

Access to Document

10.1007/978-3-030-30859-9_19

Cite this

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, Y. Koucheryavy, & S. Balandin (Eds.), Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings (pp. 220-232). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11660 LNCS). Springer. https://doi.org/10.1007/978-3-030-30859-9_19

Ullah, Inam ; Mutafungwa, Edward ; Asghar, Muhammad Zeeshan et al. / Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum. Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. editor / Olga Galinina ; Sergey Andreev ; Yevgeni Koucheryavy ; Sergey Balandin. Springer, 2019. pp. 220-232 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum",

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

author = "Inam Ullah and Edward Mutafungwa and Asghar, {Muhammad Zeeshan} and Jyri H{\"a}m{\"a}l{\"a}inen",

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doi = "10.1007/978-3-030-30859-9_19",

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booktitle = "Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings",

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Ullah, I, Mutafungwa, E, Asghar, MZ & Hämäläinen, J 2019, Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum. in O Galinina, S Andreev, Y Koucheryavy & S Balandin (eds), Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11660 LNCS, Springer, pp. 220-232, International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, St. Petersburg, Russian Federation, 26/08/2019. https://doi.org/10.1007/978-3-030-30859-9_19

Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum. / Ullah, Inam; Mutafungwa, Edward; Asghar, Muhammad Zeeshan et al.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. ed. / Olga Galinina; Sergey Andreev; Yevgeni Koucheryavy; Sergey Balandin. Springer, 2019. p. 220-232 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11660 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum

AU - Ullah, Inam

AU - Mutafungwa, Edward

AU - Asghar, Muhammad Zeeshan

AU - Hämäläinen, Jyri

N1 - Conference code: 19

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Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Area capacity

KW - Coexistence management

KW - Cognitive radio

KW - Spectrum sharing

KW - Throughput

KW - TV white space

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SN - 9783030308582

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Andreev, Sergey

A2 - Koucheryavy, Yevgeni

A2 - Balandin, Sergey

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Ullah I, Mutafungwa E, Asghar MZ, Hämäläinen J. Coexistence Management Approach for Densification of Randomly Deployed Low Power Nodes in TVWS Spectrum. In Galinina O, Andreev S, Koucheryavy Y, Balandin S, editors, Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, Proceedings. Springer. 2019. p. 220-232. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-30859-9_19

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

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Fundamentals of Ultra Dense 5G Networks with Application to Machine Type Communication

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Fundamentals of Ultra Dense 5G Networks with Application to Machine Type Communication

Cite this