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Finding the distribution of users in a cell from smart phone based measurements
RISE, SP – Sveriges Tekniska Forskningsinstitut.
2016 (English)In: Proceedings of the International Symposium on Wireless Communication Systems, 2016, 538-542 p.Conference paper, Published paper (Refereed)
Abstract [en]

Mobile users are assumed to be positioned within the cell or sector boundaries of the serving cell in the network. Measurements of location done by the smart phones combined with the network layout show differently. There is a significant amount of users which are actually outside the nominal sector boundaries. Knowledge about the statistical location distribution of users inside or outside the serving cell intended coverage may prove valuable in finding more optimal resource management methods. Another application is the development of over-the-air characterization of base station antennas. Distance and directional statistics are shown for samples of relative positions within the cell sectors of a real network using smart phone based measurements. Samples for LTE in 800 and 1800 MHz non-voice usage and 3G at 2100 MHz voice usage is included. The distance distributions show clearly that the usage density rapidly decrease with the distance, and there is a clear confirmation that lower frequencies have longer range, also in terms of usage density. Mean usage distance for 800 MHz is 1.62 km, while for 2100 MHz it is only 580 m. It also shows that 90% of the usage is within 3.47 and 1.35 km for the two cases, respectively. The directional distributions relative to the sector centre direction shows that 80% of the users are within 153 degrees for lowest frequency, and 109 degrees for the highest. © 2016 IEEE.

Place, publisher, year, edition, pages
2016. 538-542 p.
Keyword [en]
Cells, Cytology, Mobile telecommunication systems, Telephone sets, Wireless telecommunication systems, Base station antennas, Directional distributions, Directional statistics, Distance distributions, Lower frequencies, Measurements of, Optimal resource management, Relative positions, Smartphones
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-27598DOI: 10.1109/ISWCS.2016.7600963Scopus ID: 2-s2.0-84994242422ISBN: 9781509020614 (print)OAI: oai:DiVA.org:ri-27598DiVA: diva2:1059694
Conference
13th International Symposium on Wireless Communication Systems, ISWCS 2016, 20 September 2016 through 23 September 2016
Note

References: Glazunov, A.A., Kolmonen, V.M., Laitinen, T., MIMO over-theair testing (2012) LTE-Advanced and Next Generation Wireless Networks: Channel Modelling and Propagation, pp. 411-442. , G. Roche, A. A. Glazunov, and B. Allen, Eds. Hoboken, NJ, USA: Wiley; Nasri, R., Jaziri, A., Analytical tractability of hexagonal network model with random user location (2016) IEEE Transactions on Wireless Communications, 15 (5), pp. 3768-3780. , May; Elalem, M., Zhao, L., Realistic user distribution and its impact on capacity and coverage for a WCDMA mobile network (2009) Sarnoff Symposium, 2009. SARNOFF '09. IEEE, pp. 1-5. , March; Wang, Z., Schoenen, R., Yanikomeroglu, H., St-Hilaire, M., The impact of user spatial heterogeneity in heterogeneous cellular networks (2014) 2014 IEEE Globecom Workshops (GC Wkshps), pp. 1278-1283. , Dec; Lei, Z., Goodman, D.J., Mandayam, N.B., Location-dependent other-cell interference and its effect on the uplink capacity of a cellular cdma system (1999) Vehicular Technology Conference, 1999 IEEE 49th, 3 (3), pp. 2164-2168. , Jul; Schoenen, R., Yanikomeroglu, H., Walke, B., User in the loop: Mobility aware users substantially boost spectral efficiency of cellular OFDMA systems (2011) IEEE Communications Letters, 15 (5), pp. 488-490. , May; Taori, R., Chang, Y.B., Kang, H.J., Baek, S.K., Son, Y.M., Park, J.S., Cloud cell: Paving the way for edgeless networks (2013) Global Communications Conference (GLOBECOM), 2013 IEEE, pp. 3546-3552. , Dec; Lehne, P.H., Mahmood, K., Glazunov, A.A., Grønsund, P., Kildal, P.-S., Measuring user-induced randomness to evaluate smart phone performance in real environments (2015) 9th European Conference on Antennas and Propagation (EuCAP), pp. 1-5. , April; Lehne, P.H., Glazunov, A.A., Mahmood, K., Kildal, P.-S., Analyzing smart phones' 3D accelerometer measurements to identify typical usage positions in voice mode (2016) 10th European Conference on Antennas and Propagation (EuCAP), pp. 1-5. , April; http://www.movable-type.co.uk/scripts/gid-faq-5.1.html, Movable Type Scripts. (1996, Oct) GIS FAQ Q5.1: Great circle distance between two pointsA4 -

Available from: 2016-12-22 Created: 2016-12-21 Last updated: 2016-12-22Bibliographically approved

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