Contents Introduction
The rapid and unprecedented development in the areas of wireless sensor networks observed in the last two decades, more specifically in the context of Internet of Things (loT) and Internet of Vehicles (loV), as well as the more recent devel-opments and continuous usage of artificial intel-ligence and machine learning (Al/ML) constantly supported by cloud/edge based computing technology, has contributed and it is still strongly contributing to the huge proliferation and usage of wearable, portable and easy to deploy elec-tronic devices. These trends, in addition to inevitably bring towards the collapse of the current fifth-generation (5G) network - it is envisioned that 5G global mobile subscribers will exceeded 1 billion in 2022, reaching 4.4 billion by 2030 [1]- they are fostering the development of the so called metaverse, an ecosystem based on the principles of global ubiquitous connectivity and pervasive intelligence, which will be able to deliver formidable innovative use cases and services such as tactile internet, extended reality (ER) and autonomous transportation systems. From metaverse vision, it is expected that users' quality of experience (QoE) will be improved by collecting data from physical devices and use it as input for advanced AI/ML mechanisms which provides optimal decision policies. However, in order to realize this innovative vision of data processing for QoE improvement, new challenges need to be addressed. These are pushing towards the devel-opment of the new sixth-generation (6G) network standard [2].
