CDMA systems capacity engineering by Kiseon Kim; Insoo Koo

By Kiseon Kim; Insoo Koo

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Users in one group have the same quality requirement and information data rate requirement. Define the power received by the BS as Sv,i for the ith voice user in the voice user group and Sdj,h for the hth user in the data user group j (j = 1, 2, …, N – 1), and define the information data rates as Rv for the voice user group and Rdj for the data user group j. For the ith voice user, the received Eb/N0 is represented as follows [5, 8]. 1) j where W is the spreading bandwidth; Nv and Ndj represent the number of users in the voice user group and the data user group j in a sector, respectively; α is the voice activity factor; I is the other cell interference; and η0 is the level of the background noise power spectral density.

Kim It is well known that CDMA systems are interference limited, which implies that the multiaccess interference (MAI) is a key parameter that governs system performance and capacity. Fading and the random activity of users are two fundamental ingredients of the MAI. In this chapter, we focus primarily on investigating the effect of traffic activity on the capacity of CDMA systems, based on ON/OFF traffic models. In CDMA systems, the interference can be suppressed by monitoring the traffic activity of users, which corresponds to improving the system capacity because CDMA systems are interference limited.

As another example, let’s consider a system with three user groups as with the previous single cell case. 7 shows the three-dimensional capacity region for the multicell case, where the maximum possible numbers of users are found to be 36 for the voice user group, 5 for data user group 1, and 12 for data user group 2. 08, 0, 0) corresponds to the voice-only user capacity of the IS-95 CDMA system. Conclusions In this chapter, the capacities of single cell and multiple cell CDMA systems supporting multimedia services have been evaluated.

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