200000 20000 150000 15000 100000 10000 50000 Figure 2.101 RNC level performance monitoring Radio Network Planning and Optimisation DCR without this cell DCR due to this cell 0.00045 0.0004 0.025 0.00035 0.0003 0.00025 0.015 0.0002 0.00015 0.0001 0.005 0.00005 Figure 2.102 Selecting the worst performing cells TRAFFIC, ALL DateTime 77010A1 Total 77010A1 VOICE 77010A1 VIDEO 77010A1 FTP ALL VOICE VIDEO FTP (TOTAL) Figure 2.103 Traffic profile of the WCDMA cell (voice, video, PS) Radio Network Optimisation rate was 2.7%, then the eight worst performing cells need to be fixed to achieve the target. This includes the assumption that all cells can be fixed to a 0 % drop call rate, which means that in real life more cells need to be analysed. The cells are optimised using the cluster optimisation process. In addition to the cluster optimisation process, the cell level statistics can be used to determine what kind of problem the bad performing cell is experiencing. Traffic Profile Problems The traffic profile of each problem cell is analysed as shown in Figure 2.103. The RRC and RAB failure reasons are analysed to determine whether the problem is on the radio interface on the transmission network or whether the SW/HW is the likely source of drops calls. If the problems are in the radio interface the drive test measurement and cluster optimisation process are used to locate the problem. Transmission Network Planning and Optimisation Ajay R Mishra and Jussi Viero 3.1 Access Transmission Network Planning Process Access transmission networks are the ones that connect the radio networks and core networks. 'Tradi- tionally' transmission network planning (TNP) was considered to be line-of-sight planning, i.e. if one site can 'see' another site and make a connection through microwave radios/optical cables/leased lines, etc. However, as the complexity of the networks increased, transmission network planning gained more significance. As the technology advances have gone from the GSM to the UMTS and beyond, the process becomes more c