<div class="csl-bib-body">
<div class="csl-entry">Schwarz, S. (2024). Gambling on Reconfigurable Intelligent Surfaces. <i>IEEE Communications Letters</i>, <i>28</i>(4), 957–961. https://doi.org/10.1109/LCOMM.2024.3360477</div>
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dc.identifier.issn
1089-7798
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/199606
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dc.description.abstract
We consider multi-operator wireless networks where broadband reconfigurable intelligent surfaces (RISs) effectively cover the transmission bands of all operators. These RISs are supplied by a dedicated provider and dynamically leased on-demand to individual operators to support their transmissions. When an operator takes control of a RIS, it can adjust its phase-response to meet the requirements of its users. This sets the stage for a competitive scenario where operators vie for control of RISs. To address this competition, we introduce an auction format designed to efficiently allocate RISs to operators. Furthermore, we develop a multi-agent reinforcement learning environment to optimize operators’ bidding strategies, demonstrating its superiority over the heuristic dominant strategy of greedy bidding.
