 Therefore, mass events have turned out to be uplink limited and solutions for managing uplink interference are required. The mass event optimization is discussed in Chapter 11. GB/sub/month Smartphone Both types of USB dongle network traffic network Figure 16.1 Typical data volumes per subscriber per month in advanced networks Smartphone Optimization Downlink versus uplink asymmetry Smartphone Both types of USB dongle network traffic network Figure 16.2 Typical asymmetry factor between downlink and uplink The traffic asymmetry can also be taken into account in the time domain capacity allocation between uplink and downlink in TD-LTE by selecting suitable configuration to match the required capacity split. Configuration 1 provides fairly symmetric split between downlink and uplink, while configuration 2 is better suited for downlink-dominated traffic by using nearly 80% of the time for the downlink direction. The same split needs to be used in the whole coverage area to avoid interference between uplink and downlink. 16.2.2 Traffic-Related Signalling Smartphone applications create frequent transmission of small packets due to the background activity of the os and the applications. Even if a person does not actively use the phone, the packet transmissions are still happening in the background. Many mobile broadband networks experience on average even beyond 500 packet calls, that means evolved radio access bearers (eRABs), per subscriber per day. That corresponds to one allocation per subscriber every Downlink versus uplink asymmetry Average in the network Peak hour in the mass event Figure 16.3 Asymmetry between downlink and uplink in the smartphone network LTE Small Cell Optimization eRABs/sub/day Smartphone Both types of USB dongle network traffic network Figure 16.4 Number of LTE packet calls (eRABs) per subscriber per day two minutes during the busy hour. The typical voice-related activity is just 10 voice calls per subscriber per day which shows that the packet application activity is substantially higher th