Fast and accurate analytical tools to estimate network capacity for URLLC in 5G systems

Ultra-Reliable Low-Latency Communication (URLLC) systems are one of the most challenging parts of the 5G systems due to very tight constraints on reliability and latency. Because of the strict requirements, the network capacity of URLLC depends on various system parameters such as channel bandwidth, distribution of users in the cell, traffic load, etc. A fast and accurate estimation of the network capacity under given conditions is crucial for the efficient deployment of new URLLC services and dynamic reconfiguration of the radio access network. This paper presents two analytical tools that estimate the capacity of URLLC systems. The first tool is an analytical model that accurately obtains the network capacity. The second one is an approximation method that significantly reduces the computational time at the cost of acceptable estimation errors.