name: CC
full_form: Convolutional Coding
context: The same simulation were run with five times higher bandwidth (1.6Mbps). In Table 7 an example of results from CRRM simulations with both IS-NCCRS and DR (4 layers, 1.6 Mbit/s channel) is shown. Correspondingly, cumulative distribution function of packet delay for the same case is plotted in Figure 23. The number of active users at 95% outage (delay less or equal than 5s) is collected (bold) and plotted in Figure 24. Table 7. An example of results from packet data simulations with CRRM (DR + IS-NCCRS, 4 layers, 1.6 Mbit/s channel, 10 min simulation) Figure 23. Example of cumulative distribution function of delay from simulations with CRRM utilising both IS-NCCRS and DR in cell reselection (4 Layers) In Figure 24 the system capacity and capacity improvements from different algorithms are plotted for interactive web surfing traffic through 1.6 Mbps channel bandwidth. Figure 24. NRT simulations (channel BW 1.6Mbps), 95% of users experience less than 5s delay Again, when observing Figure
description: Convolutional Coding (CC) is a parameter used in channelization codes from neighboring cells. It affects the alignment simulation results under static propagation conditions. The number of CCs (4, 12, and 28) can be varied in different scenarios to analyze its impact on simulation outcomes for different data rates (12.2kbps and 64kbps).
explanation: Convolutional Coding is described as a variable parameter that influences the alignment simulation results. The text emphasizes varying the number of CCs to study their effect, indicating its role as a configurable factor in the simulation setup.
section_title: 7.1	Static Propagation Conditions
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