ionship between RSRP and chipset power consumption. This shortcut is eased by the fact that chipset baseband power consumption is independent of the number of PRBs. Any change in uplink PRBs or MCS is accounted for by transmit power control loop adjustments. Therefore, aver- aging each physical channel transmit power should provide a reasonably accurate estimation and should reflect that UE tx power should increase as uplink throughput is increased. A Smartphone Optimization RSRP (dBm/15 kHz) RSRP (dBm/15 kHz) Legend for drive route data: Radio/music streaming trend line Skype video call trend line File upload trend line Legend for static measurements: Radio/music streaming Video streaming application 1 Video streaming application 2 Playstore application download Skype video call RSRP (dBm/15kH File upload to cloud server Figure 16.45 PUSCH (a), PUCCH (b) and total transmit power (c) versus RSRP trend lines versus static locations "A", "B" and "C" for six smartphone applications (music streaming, video streaming, application download, skype video call and file upload) detailed analysis and description of LTE power control loops can be found in Chapter 11. In Figures 16.44b, 16.44d and 16.44f, a 2-second averaging window is used to compute the equivalent 'total' power. For each constellation, an approximate trend line is extracted. Figure 16.45 overlays each trend line with measurements performed in static locations A, B and C for the six use cases presented in Figure 16.42b. Measurements performed in static locations globally match within a few decibels the gen- eral trend lines extracted from drive route test conditions. Interestingly, the trend line captured for radio streaming is a good match for applications with low uplink traffic. For example, Figures 16.45a and C show that the two video streaming applications and the Playstore down- load use cases closely follow the PUSCH and total transmit power trend lines of radio stream- ing. This is somehow expected as the uplink average throughput for this selection 