# CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario
## 1 Introduction
### A Complex and Dynamical Approach for a Context-Based Evaluation Model
This figure shows the schematic representation of the evaluation scheme following the complex approach for IoMT services as dynamical resources organized at the edge level in a multilevel architecture of IoMT systems. The edge intelligence level is intended as a complex evolutionary strategical approach for the distributed resources’ organization, both in terms of evaluation modules (*) and of IoMT integration layer (**). \begin{table}
\begin{tabular}{p{42.7 pt} p{284.5 pt} p{284.5 pt}} \hline \hline
**Reference** & **Year** & **Keywords** \\ \hline
[13] & 2020 & Emergency Service, Healthcare, 5G Communications, 6G Communications, Wireless Communications, Internet of Things, Internet of Everything, Vehicular Technology, Drones, Mobile Hospital, Hospital-to-Home Services, Fire Control, Accidental Services, Natural Disaster. \\ \hline
[9] & 2020 & 6G mobile communication, 5G mobile communication, Reliability, Wireless networks, Internet of Things, Intelligent sensors. \\ \hline
[10] & 2020 & Complex systems, complex networks, networked complex system, 5G, 6G, wireless communications, wireless networks, mobile communication networks, modelling \\ \hline
[11] & 2019 & 6G mobile communication, 5G mobile communication, Market research, Wireless communication, Sensors, Wireless sensor networks. \\ \hline
[12] & 2020 & 6G, wireless communications, terahertz band, intelligent communication environments, pervasive artificial intelligence, network automation, all-spectrum reconfigurable transceivers, ambient backscatter communications, cell-free massive MIMO, Internet of NanoThings, Internet of BioNanoThings, quantum communications. \\ \hline
[8] & 2020 & 5G, 6G, artificial intelligence, automation, beyond 5G, data rate, massive connectivity, virtual reality, terahertz. \\ \hline
[16] & 2020 & Computer Science, Distributed, Parallel, Cluster Computing, Artificial Intelligence, Networking and Internet Architecture. \\ \hline
[17] & 2020 & Self-learning edge intelligence, technological framework, seamless integration, communication networks, mobile edge computing, key missing components, edge-native AI, self-supervised generative adversarial nets, potential performance improvement, automatic data learning, edge computing networks, key research problems, edge-native artificial intelligence, communication network, wireless 6G cellular systems, self-learning architecture, self-learning-enabled 6G edge intelligence. \\ \hline
[18] & 2021 & Edge intelligence, 6G, Ultra-reliable low-latency, COVID-19, Internet of drones, Holographic communication. \\ \hline
[22] & 2020 & 6G, architecture, B5G, cellular communication, convergence, orchestration, sub-networks, wireless networks. \\ \hline
[30] & 2021 & Aggregation, differentiated services (Diffserv), edge intelligence, network traffic, preference logic, quality of experience (QoE), quality of service (QoS). \\ \hline
[32] & 2020 & Massive MIMO, holographic beamforming, Internet of everything (IoE), Machine learning, Distributed security. \\ \hline
[33] & 2021 & MEC, EGT, Temporal multiplex network, Social network, 6G. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Research works about 6G paradigm. towards more edge intelligent capabilities, such as computing, machine learning and evaluation of quality of services close to the users. * We shed light on both architectural and analytical procedure, following a complex approach, consisting of three different interoperable levels, underlining how the interoperability of these chained different levels changes in accordance with the context of use. * We follow the complex approach in line with the future 6G network and with the moving of the intelligence from the central cloud to edge computing resources since the computing of each evaluation module can represent a resource at edge level. A completely dynamic and heterogeneous topology requires an intelligence at edge level also for the evaluation of the services provided in order to introduce the same degree of adaptability.