at 3 km/hour 20% of the speed for this traffic model. users are stationary (continued) CHAPTER 1 NETWORK PLANNING Table 1-8. (continued) Parameter Values Comment Average number of sessions/ Based on data usage, traffic mix distribution from UE/busy hours (BH) Sandvine, and application characteristics such as web page size, video duration. Low mobility users consume 50% more and high mobility users consume 50% less than the medium mobility users. Number of E-RAB addition/ Based on the number of voice calls during the BH UE/BH that would require one dedicated bearer setup. Low mobility users also make more calls than higher mobility users. Number of E-RAB deletion/ Same assumption as above to remove the dedicated UE/BH bearer. Average session duration (sec) 300 sec Based on the traffic mix and session duration per service type (e.g., streaming, browsing), assuming 25% longer session for low mobility user compared with medium mobility users. The difference could be viewed as low mobility users having a different traffic mix, which is heavier on video streaming. A similar assumption is made for the high mobility user in relation to the medium mobility user. Number of attaches/minute Number of detaches/minute Data bandwidth (BW) 8MB/user (including all Based on 1GB monthly consumption, 30 days per consumption the RABs) month, 5 BH per day, and 80% BW consumed during the BH. Low mobility users consume 50% more and high mobility users consume 50% less than the medium mobility users. Number of tracking area Based on a periodic TAU of 1 hour or more updates (TAU) considering that there will be 15 UEs in the network and the simulation will be for a period of 30 minutes, we can assume 75 TAUs for this traffic model. Number of RRC Based on 1% Radio Link Failure (RLF) probability for reestablishments medium mobility user and only connected users. Data generation Full buffer For simplicity we can assume full buffer transmission for all the RABs Indoor to outdoor ratio There are different urban residential and urban small offic