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dc.contributor.authorAyala-Romero, Jose A.
dc.contributor.authorLo Schiavo, Leonardo 
dc.contributor.authorGarcia-Saavedra, Andres
dc.contributor.authorCosta-Perez, Xavier
dc.date.accessioned2024-01-22T18:06:40Z
dc.date.available2024-01-22T18:06:40Z
dc.date.issued2024-05-20
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1785
dc.description.abstractRadio Access Network (RAN) virtualization, key for new-generation mobile networks, requires Hardware Accelerators (HAs) that swiftly process wireless signals from Base Stations (BSs) to meet stringent reliability targets. However, HAs are expensive and energy-hungry, which increases costs and has serious environmental implications. To address this problem, we gather data from our experimental platform and compare the performance and energy consumption of a HA (NVIDIA GPU V100) vs. a CPU (Intel Xeon Gold 6240R, 16 cores) for energy-friendly software processing. Based on the insights obtained from this data, we devise a strategy to offload workloads to HAs opportunistically to save energy while preserving reliability. This offloading strategy, however, needs to be configured in near-real-time for every BS sharing common computational resources. This renders a challenging multi-agent collaborative problem in which the number of involved agents (BSs) can be arbitrarily large and can change over time. Thus, we propose an efficient multi-agent contextual bandit algorithm called ECORAN, which applies concepts from mean field theory to be fully scalable. Using a real platform and traces from a production mobile network, we show that ECORAN can provide up to 40% energy savings with respect to the approach used today by the industry.es
dc.description.sponsorshipEuropean Commission through Grant No. SNS-JU-101097083 (BeGREEN), 101139270 (ORIGAMI), and 101017109 (DAEMON)es
dc.language.isoenges
dc.titleMean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANses
dc.typeconference objectes
dc.conference.date20-23 May 2024es
dc.conference.placeVancouver, Canadaes
dc.conference.titleIEEE International Conference on Computer Communications *
dc.event.typeconferencees
dc.pres.typepaperes
dc.type.hasVersionAMes
dc.rights.accessRightsopen accesses
dc.acronymINFOCOM*
dc.rankA**
dc.relation.projectNameBeGREEN (Beyond 5G Artificial Intelligence Assisted Energy Efficient Open Radio Access Network)es
dc.relation.projectNameORIGAMI (Optimized resource integration and global architecture for mobile infrastructure for 6G)es
dc.relation.projectNameDAEMON (Network intelligence for aDAptive and sElf-Learning MObile Networks)es
dc.subject.keywordvRANes
dc.subject.keywordMulti-agent systemses
dc.subject.keywordEnergy Efficiencyes
dc.description.refereedTRUEes
dc.description.statusinpresses


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