In this thesis, the reverse channel model for a seven-cell cluster DS-CDMA cellular communications systemoperating in a slow-flat Nakagami fading and lognormal shadowing environment is developed. The aforementioned systemuses imperfect power control to combat the near-far effect and the lognormal shadowing. Forward error correction is appliedby using convolutional encoding and soft decision decoding. The probability of bit error is estimated by using a Gaussianapproximation, sectoring antennas and a rake receiver at the base station in order to enhance the system's performance. Theperformance of the system is examined under several values of the standard deviation of lognormal shadowing and thepower control error for various numbers of users and values of the Nakagami-m variable by using simulations. Finally, abarrage noise jammer will be introduced and its effect seen in the performance of the cellular communication system for a specific value of Eb/Nâ .