Date of Award
Doctor of Philosophy (PhD)
Computer Engineering and Sciences
Carlos Enrique Otero
he existing Private/Professional Mobile Radio (PMR) technologies designed specifically for Mission Critical Communication (MCC) systems are narrowband and wideband devices, with limited network data capacity in emergency scenarios. They are majorly used to support MCC voice communications and low data rate applications during mission critical operations. However, the need for broadband systems that would support high radio data capacity keep increasing during major incidents and accident scenarios. Because of this, the MCC agencies were attracted by the broadband capabilities of Long Term Evolution (LTE) technology. But, the uplink capacity of LTE- based MCC systems is still a concern. In planning for improved response in emergency situations, there is need to evaluate the performance of LTE-based MCC systems. This will involve quantifying the uplink capacity and quality of service this system will offer. Therefore, this study describes analytical traffic modeling and simulation approach to model LTE-based MCC networks. The network performance is investigated when it is presented with heterogeneous data applications during emergency situations. The relation between the traffic load (video, data, and voice, short messaging) and waiting time is presented. ARENA simulation tool is used to show the throughput, waiting time, and resource utilization to be expected when using LTE-based MCC networks. The simulation results are compared with the analytical and 3GPP models. The results demonstrate that the modeled LTE- based MCC cell provides enough uplink capacity to simultaneously serve up to 10 users; each with traffic less than 3.6 Mbps data on the uplink of the LTE-based MCC network. The results from this study can help the network designers in the implementation of equipment and devices that could support MCC services over LTE networks.
Olasupo, Kehinde Olumide, "Performance Evaluation of Mission Critical Communications Services over LTE Networks" (2017). Theses and Dissertations. 788.