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Multi-antenna cell constellations for interference management in dense urban areas.

, , , , and . ISWCS, page 310-334. IEEE, (2010)

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Borderless Mobility in 5G Outdoor Ultra-Dense Networks., , and . IEEE Access, (2015)Positioning in heterogeneous small cell networks using MDT RF fingerprints., , , and . BlackSeaCom, page 127-131. IEEE, (2013)Cluster-Based RF Fingerprint Positioning Using LTE and WLAN Signal Strengths., , and . Int. J. Wirel. Inf. Networks, 24 (4): 413-423 (2017)Aspects of knowledge mining on minimizing drive tests in self-organizing cellular networks.. University of Tampere, Finland, (2014)base-search.net (ftunivtampere:oai:trepo.tuni.fi:10024/114069).An efficient grid-based RF fingerprint positioning algorithm for user location estimation in heterogeneous small cell networks., , and . ICL-GNSS, page 1-5. IEEE, (2014)Genetic algorithm optimized grid-based RF fingerprint positioning in heterogeneous small cell networks., , and . ICL-GNSS, page 1-7. IEEE, (2015)Multi-antenna cell constellations for interference management in dense urban areas., , , , and . ISWCS, page 310-334. IEEE, (2010)Flexible Backhauling With Massive MIMO for Ultra-Dense Networks., , , , and . IEEE Access, (2016)An in-depth, broad-scoped, tutorial to LTE technology - Stefania Sesia, Issam Toufik, and Matthew Baker (eds): LTE: The UMTS Long Term Evolution - From Theory to Practise. John Wiley & Sons Ltd, Hardcover, 2009, ISBN: 9780470697160., and . Signal Image Video Process., 4 (4): 483-484 (2010)Self-optimization of LTE Mobility State Estimation thresholds., , and . WCNC Workshops, page 161-165. IEEE, (2014)