
The main objective of the work presented in this poster was to develop a measurement and attribution approach in a 5G system to assess the power consumption at the network function or individual user level, such that this information can be used to minimize service power consumption or incentivize end users to decrease their power use. This work is split in three parts: (1) the radio access network (RAN), where we focus on measuring power consumption of physical RAN nodes, and the (2) core network, where we focus on the power consumption of virtualized network functions (e.g. UPF) operating in cloud environments and (3) work on minimizing the service power consumption using modeling and reinforcement learning. This poster serves as supporting material for the EXIGENCE project booth at EUCNC 2026 conference in Malaga, Spain, 2-5 June 2026.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
