# The Impact of Impulsive Traffic on Cellular Internet of Things Network Performance Indicators
## 2 Related Works
Our contribution in this article is to discuss the case of group reception of resource requests in NB-IoT networks and highlight the importance of studying this case when planning radio resources because neglecting it may lead to network performance degradation. A summary of related works is presented in Table 2. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**References** & **Specifications** & **Focus Area** & **Contribution/Methodology** & **Limitations/Gaps** \\ \hline
[9] & NB-IoT and LoRa & Resources management performance, challenges, and opportunities. & A comprehensive review of NB-IoT and an explanation of the most important challenges it faces. & Non-cellular LPWANs are not covered. \\ \hline
[12] & NB-IoT & Improvements were made in subsequent 3 GPP releases, NB-IoT simulators, resource management, energy management, and applications. & A comprehensive survey of the research works conducted on various aspects of NB-IoT. & Only NB-IoT was studied. \\ \hline
[13] & eMTC and NB-IoT & Battery life time, latency, and maximum number of supported users. & eMTC and NB-IoT implementations in NS-3 in order to evaluate their performance. & The issue of resource management has not been studied. \\ \hline
[14] & NB-IoT & Performance evaluation of NB-IoT implementation in HetNet. & Comparing the average throughput and the energy consumption of NB-IoT in the cases of cooperative and non-cooperative resource allocation in 5G HetNet. & Impulsive traffic has not been studied. \\ \hline
[15] & NB-IoT & The case of NB-IoT with satellites. & Studying the performance of NB-IoT when implemented based on 5G technology via the Geostationary Equatorial Orbit (GEO). & There is no comparison with the performance of terrestrial networks. \\ \hline
[16] & NB-IoT & Limitations due to realistic channel estimation on NB-IoT performance. & The impact of coverage extension on the performance of NB-IoT terminals and the limitations that this event imposes on battery and communication delays were studied. & Only the uplink was studied. \\ \hline
[17] & NB-IoT & The device and network performance. & Evaluation of the experimental performance of NB-IoT and comparison with theoretical values. & Impulsive traffic has not been studied. \\ \hline
[18] & NB-IoT & The process of receiving and processing requests. & An improved strategy to schedule NB-IoT terminal servicing according to priority. & The arrival of requests may be a random, impulsive arrival, and this limits the network resource requests. & The arrival of requests may be a random, impulsive arrival, and this limits the network performance. \\ \hline
[19] & NB-IoT & The impact of the NB-IoT network on system reliability. & Studying the effect of changing transmission distance and the presence of obstacles on the performance of smart systems based on NB-IoT. & Impulsive traffic has not been studied. \\ \hline
[20] & NB-IoT & Healthcare applications. & Measuring the performance of NB-IoT in health monitoring systems. & Only one use case was considered in this study. \\ \hline
[21] & NB-IoT and & Smart power grid. & Developing a device that chooses between NB-IoT and LTE to transfer packets depending on the quality of the channels of each of these two technologies. & Only one use case was considered in this study. \\ \hline
[22] & LoRaWAN and Cellular NB-IoT & Power consumption, latency, security, and throughput. & An experimental comparison between the performance of NB-IoT and LoRaWAN. & In this study, the latest standards were not taken into consideration. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Summary of related works [author’s own processing]. The objective of our study is to determine whether the impulsive nature of cellular IoT has an impact on the throughput of these networks and to evaluate the network performance in this case. Research hypotheses to be proven:  
**Hypothesis 1**.