On selecting antenna placements in indoor radio environments
(2018) 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 2018-April. p.3719-3723- Abstract
In this work, we introduce an antenna placement algorithm for indoor radio networks. The algorithm aims to minimize the number of antennas required to provide sufficient coverage in an area of interest, minimizing the cost of equipment and installation work. The optimization algorithm exploits a semi-deterministic model for the most dominant radio paths. Each path is in turn determined with the A∗ path finding algorithm. Both the proposed antenna placement algorithm and the used indoor radio propagation model are evaluated using real measurements, confirming the efficiency of the method.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d94f2696-6227-44cf-aa3f-16636e0a73a0
- author
- Ågren, Fabian ; Swärd, Johan LU and Jakobsson, Andreas LU
- organization
- publishing date
- 2018-09-10
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
- volume
- 2018-April
- article number
- 8462374
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
- conference location
- Calgary, Canada
- conference dates
- 2018-04-15 - 2018-04-20
- external identifiers
-
- scopus:85054209130
- ISBN
- 9781538646588
- DOI
- 10.1109/ICASSP.2018.8462374
- language
- English
- LU publication?
- yes
- id
- d94f2696-6227-44cf-aa3f-16636e0a73a0
- date added to LUP
- 2018-11-05 10:40:20
- date last changed
- 2022-01-31 06:46:02
@inproceedings{d94f2696-6227-44cf-aa3f-16636e0a73a0, abstract = {{<p>In this work, we introduce an antenna placement algorithm for indoor radio networks. The algorithm aims to minimize the number of antennas required to provide sufficient coverage in an area of interest, minimizing the cost of equipment and installation work. The optimization algorithm exploits a semi-deterministic model for the most dominant radio paths. Each path is in turn determined with the A<sup>∗</sup> path finding algorithm. Both the proposed antenna placement algorithm and the used indoor radio propagation model are evaluated using real measurements, confirming the efficiency of the method.</p>}}, author = {{Ågren, Fabian and Swärd, Johan and Jakobsson, Andreas}}, booktitle = {{2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings}}, isbn = {{9781538646588}}, language = {{eng}}, month = {{09}}, pages = {{3719--3723}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{On selecting antenna placements in indoor radio environments}}, url = {{http://dx.doi.org/10.1109/ICASSP.2018.8462374}}, doi = {{10.1109/ICASSP.2018.8462374}}, volume = {{2018-April}}, year = {{2018}}, }