Strategic Bidding in 6G Spectrum Auctions with Large Language Models
Efficient and fair spectrum allocation is a central challenge in 6G networks, where massive connectivity and heterogeneous services continuously compete for limited radio resources. We investigate the use of Large Language Models (LLMs) as bidding agents in repeated 6G spectrum auctions with budget constraints in vehicular networks. Each user equipment (UE) acts as a rational player optimizing its long-term utility through repeated interactions. Using the Vickrey-Clarke-Groves (VCG) mechanism as
Record details
Published: 27 April 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (27 April 2026), “Strategic Bidding in 6G Spectrum Auctions with Large Language Models,” evidence record 5323, https://ethics.ai/record/5323 (originally published by arXiv).
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