Abstract
The fifth generation (5G) of mobile networks is designed to accommodate different types of use cases, each of them with different and stringent requirements and key performance indicators (KPIs). To support the optimization of the network performance and validation of the KPIs, there exist the necessity of a flexible and efficient monitoring system and capable of realizing multi-site and multi-stakeholder scenarios. Nevertheless, for the evolution from 5G to 6G, the network is envisioned as a user-driven, distributed Cloud computing system where the resource pool is foreseen to integrate the participating users. In this paper, we present a distributed monitoring architecture for Beyond 5G multi-site platforms, where different stakeholders share the resource pool in a distributed environment. Taking advantage of the usage of publish-subscribe mechanisms adapted to the Edge, the developed lightweight monitoring solution can manage large amounts of real-time traffic generated by the applications located in the resource pool. We assess the performance of the implemented paradigm, revealing some interesting insights about the platform, such as the effect caused by the throughput of monitoring data in performance parameters such as the latency and packet loss, or the presence of a saturation effect due to software limitations that impacts in the performance of the system under specific conditions. In the end, the performance evaluation process has confirmed that the monitoring platform suits the requirements of the proposed scenarios, being capable of handling similar workloads in real 5G and Beyond 5G scenarios, then discussing how the architecture could be mapped to these real scenarios.
Highlights
The evolution of mobile networks from Second generation (2G) to Fourth generation (4G) generations was mainly focused on providing a better quality of experience to end users, by increasing the bandwidth offered by the network at the radio link segment
Continuing with the different tests carried out related to multi-topic experiments, they aim at evaluating two design parameters that causes variations in the monitoring platform’s workload: (1) the number of topics created and running in the system as concurrent processes, due to the execution of simultaneous deployments, and (2) the total throughput received by the monitoring system, calculated as the sum of all input message rates received from each topic
The first one is that the distribution of the performance parameter values in topics of the same type is uniform in both singlebroker and multi-broker configurations, allowing the aggregation of the performance values obtained for each topic of the same type and, as a result, simplifying the study of the overall system
Summary
The evolution of mobile networks from 2G to 4G generations was mainly focused on providing a better quality of experience to end users, by increasing the bandwidth offered by the network at the radio link segment. Due to the stringent and different requirements imposed by all these potential verticals deploying their services on top of 5G networks, the most important standard development organizations (SDOs) tackling the 5G standardization, like the 3GPP, have introduced the concept of Network Slicing [3], which provides multiple isolated logical networks from a single physical one. In this approach, each logical network may support a particular type of 5G service, e.g., enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) or ultra-reliable and low latency communications (URLLC). Beyond 5G networks are required to enable network deployments that support diverse demands through network slicing
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