name: AWGN
full_form: Additive White Gaussian Noise
context: Results are presented for a max C/I scheduler and a Round robin scheduler. Figure 119 to Figure 122 present results using a max C/I scheduler in an AWGN channel. Figure 119: AWGN : cell throughput / over the air throughput / resource utilisation FTP, max C/I scheduler Figure 120: AWGN : mean packet call rate FTP, max C/I scheduler Figure 121: AWGN : packet call rate CDFs FTP, max C/I scheduler Figure 122: AWGN : mean and median packet delays FTP, max C/I scheduler The MAC-hs failure rate in the AWGN channel with a max C/I scheduler was significantly less than 10-4 for both the 3.84Mcps and 7.68Mcps chip rates. The AWGN results with the max C/I scheduler are summarized in Table 46 (7.68Mcps) and Table 47 (3.84Mcps). Table 46: Summary of 7.68Mcps AWGN results for FTP with max C/I scheduler Table 47: Summary of 3.84Mcps AWGN results for FTP with max C/I scheduler Figure 123 to Figure 126 present results using a Round robin scheduler in an AWGN channel. Figure 123: AWGN : cell throughput /
description: Additive White Gaussian Noise (AWGN) is a type of noise model used in telecommunications to simulate the effects of random fluctuations in signal transmission. It is characterized by being additive, meaning it is superimposed on the transmitted signal, white, indicating equal power across all frequencies, and Gaussian, implying a normal distribution of noise values.
explanation: AWGN is classified as a Noise Model because its primary function is to represent the random disturbances that can affect signal transmission in telecommunications systems. The description emphasizes its characteristics and application in simulating real-world channel conditions.
section_title: 5.3.2.4.1	AWGN
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