A generalized model is presented for comparative analysis of the reverse link (i.e. from the mobile station (MS) to the cell site (CS)) of macro-, micro- and pico-cellular mobile radio systems employing conventional correlator receiver (CCR), and microscopic diversity of CCRs. This paper analyses the systems error probabilities considering both sectorization and voice activity monitoring. The multiple access interference (MAI) and noise are assumed zero mean Gaussian random variable. The interrelationships among the number of interfering cells, sectorization degree, voice activity facto sectorization imperfection and the number of users are described. This paper confirms that when using CCR, pico-cells yield the best performance and micro-cells yield better performance than macro-cells. The amount of MAI has a substantial effect on. the performance. It is shown also that MAI can be reduced by sectorization and voice activity monitoring. Using microscopic diversity of CCRs also improves the systems performance.