90.0% 100.0% Figure 7.7 Population density conversion to area coverage. Table 7.3 Morphology Distribution of the Population Density Coverage area 50% POP 75% POP Total size (km²) 4067.00 6741.00 Morphology distribution (km2) Dense urban Urban 10.60 Commercial/industrial 101.00 138.00 Suburban 387.00 617.00 Forest 1270.00 1961.00 2297.00 4012.00 Morphology distribution Dense urban (%) Urban (%) Commercial/industrial (%) Suburban (%) Forest (%) 31.23 29.09 Open (%) 56.48 59.52 Table 7.4 illustrates the service quality assumptions for projected radio bearer services in UMTS. The transmission rates or bearers corresponding to the service environments represent the most common services. On the other hand, we do not necessarily exclude speech, LCD 384, LCD 2048, and UDD 2048. For example, voice service may have the following assumptions: Adaptive Multi Rate (AMR) codec with a bit-rate of 12.2 kbits/ S and with 50% voice activity factor. We can also assume 20 mE/subs with the follow- ing average holding times per subscriber: holding time of a mobile originated call holding time of a mobile terminated call Deploying 3G Networks The traffic distribution is estimated: proportion of call attempts that is mobile originated and mobile terminated Table 7.4 Service Quality Requirements Area/bearer service LCD 64 LCD 144 UDD 64 UDD 144 UDD 384 Dense urban Indoor Indoor Indoor Indoor Indoor LCP 95% LCP 95% LCP 95% LCP 95% LCP 95% Urban Indoor Indoor Indoor Indoor Indoor LCP 95% LCP 95% LCP 95% LCP 95% LCP 95% Commercial/industrial Indoor Indoor Indoor Indoor Indoor LCP 95% LCP 95% LCP 95% LCP 95% LCP 90% Suburban Indoor Indoor Indoor Indoor LCP 90% LCP 90% LCP 90% LCP 90% Forest In-car LCP In-car LCP In-car LCP In-car LCP In-car LCP In-car LCP In-car LCP In-car LCP LCD 384 and LCD 2048 can be considered for indoor transmission with LCP 95%. The number of subscriber with these rates in each cell will not exceed a couple of users. The traffic data example illustrated in Table 7.5 shows a possible distribution of the different type 