QoS-Based Selection Enabling UE Virtualizationfor 5G and Beyond

Abstract

This paper develops an innovative scalable andlow-cost QoS-based user equipment (UE) virtualization (UEV)scheme that capitalizes on the massive connectivity and theenhanced resources of the new UE generation in terms of connec-tivity, computing, battery/power, etc. Exploiting the need/excessduality and the heterogeneity in such resources at the UE plan,we form virtual UEs (VUE)s, dynamically, owing to a carefully-designed time-adjusting scheme for the selection of the propercooperative UE sets. The new UEV scheme is able to adaptto each target UE (TUE) environment, meet its demands, andscale with its needs, offers a reliable and efficient yet low-costinter-UE cooperation, reduces the overhead and power consump-tion with respect to conventional approaches, and substantiallyreduces the number of communication links and, hence, incursmuch less interference. System-level simulation results show thatthe proposed QoS-based UEV scheme largely outperforms the”dummy UEs” approach.