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Work item:
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Q.FNPA-AIA
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Subject/title:
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Framework for remote Network Performance Assessment and benchmarking using AI agents and autonomous urban robots
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2028-Q1 (Medium priority)
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Liaison:
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ITU-T SG13, ITU SG20, ETSI TC INT
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Supporting members:
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Russian Federation, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT, Russian Federation), Regional Commonwealth in the field of Communications (RCC)
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Summary:
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This Recommendation is motivated by Resolution 101 (WTSA-24), which encourages the development of standards supporting artificial intelligence for telecommunication and ICT infrastructures. The evolution of networks towards IMT-2030, distributed intelligence and interactive immersive services requires new approaches to network performance assessment and benchmarking capable of reflecting real operational environments. Autonomous urban robots as a part of FMSC (fixed, mobile and satellite convergence) equipped with AI capabilities (AI-agents as a virtual network functions) can serve as mobile test nodes, enabling flexible and scalable assessment of network performance under dynamic conditions.
This Recommendation specifies a framework for remote network performance assessment and benchmarking using AI agents and autonomous urban robots. It describes representative use cases, framework and basic operational scenarios supporting AI-assisted network measurements and performance evaluation in future communication networks.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2026-08-24 14:52:18
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Last update:
2026-08-24 14:58:48
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