In this study, the authors introduce analytical models for region-based Voice over Long Term Evolution (VoLTE) cell capacity estimation. Using the authors’ proposed analytical models, they estimate cell capacity in different regions by using several user-specific voice traffic characteristics such as Voice Activity Factor (VAF) and Silent Insertion Descriptor (SID), and different advanced techniques like Packet bundling and Transmission Time Interval (TTI) bundling. It also incorporates Hybrid automatic repeat request (HARQ) retransmission. In this work, the cell is divided into multiple regions, each corresponding to the area in which user equipment generates a certain level of Channel Quality Indication (CQI) value based on Signal to Interference plus Noise Ratio (SINR). This proposed model for region-based VoLTE capacity estimation optimises the network resource utilisation and enhances the number of concurrent active VoLTE users within the cell in each region. In this work, they have defined packet bundling and TTI bundling factors for appropriate regions to optimally allocate the radio resources for capacity estimation. Numerical results obtained using their proposed model considering different radio specific parameters are found improving the VoLTE cell capacity significantly. Further, the impact of HARQ on region-based VoLTE cell capacity is also obtained.