TY - GEN
T1 - Practical verifications for coverage and capacity predictions and simulations in real-world cellular UMTS networks
AU - Amro, Mohammad
AU - Adnan Landolsi, M.
AU - Zummo, Salam A.
PY - 2012
Y1 - 2012
N2 - This paper presents verifications for UMTS coverage and capacity in a live network using planning and performance tools applied to a real-world operational UMTS network. Case study results are presented and followed by comparisons between coverage predictions, capacity simulations, field measurements and system statistics. Tuned propagation models based on area clutter, population profiles, digital height maps and base station (BS) engineering elements are taken into account to match the outputs of the planning tool to the practical drive-test and UMTS Terrestrial Radio Access Network (UTRAN) system Key Performance Indicators (KPIs) measurements. This work outcome addresses the importance of using planning tools for dimensioning coverage and capacity aspects in UMTS networks and draw some attention to network future optimization, load balancing and congestions relief in advance before system traffic statistics are being generated or afterwards as supplementary grounds for network optimization and maintenance that support statistics.
AB - This paper presents verifications for UMTS coverage and capacity in a live network using planning and performance tools applied to a real-world operational UMTS network. Case study results are presented and followed by comparisons between coverage predictions, capacity simulations, field measurements and system statistics. Tuned propagation models based on area clutter, population profiles, digital height maps and base station (BS) engineering elements are taken into account to match the outputs of the planning tool to the practical drive-test and UMTS Terrestrial Radio Access Network (UTRAN) system Key Performance Indicators (KPIs) measurements. This work outcome addresses the importance of using planning tools for dimensioning coverage and capacity aspects in UMTS networks and draw some attention to network future optimization, load balancing and congestions relief in advance before system traffic statistics are being generated or afterwards as supplementary grounds for network optimization and maintenance that support statistics.
KW - 3G mobile communication
KW - Capacity simulation
KW - Cellular network statistics
KW - Coverage prediction
KW - Empirical propagation model
UR - https://www.scopus.com/pages/publications/84867257456
U2 - 10.1109/ICCCE.2012.6271175
DO - 10.1109/ICCCE.2012.6271175
M3 - Conference contribution
AN - SCOPUS:84867257456
SN - 9781467304788
T3 - 2012 International Conference on Computer and Communication Engineering, ICCCE 2012
SP - 174
EP - 179
BT - 2012 International Conference on Computer and Communication Engineering, ICCCE 2012
ER -