EMF-Aware MU-MIMO Beamforming in RIS-Aided Cellular Networks
Yi Yu, Rita Ibrahim, Dinh-Thuy Phan-Huy

TL;DR
This paper introduces an EMF-aware MU-MIMO beamforming scheme for RIS-aided cellular networks, optimizing capacity while respecting electromagnetic field exposure limits, addressing health and safety concerns in 6G deployments.
Contribution
It proposes a novel beamforming method that balances capacity enhancement with electromagnetic exposure constraints in RIS-assisted cellular systems.
Findings
Improved capacity under EMF constraints
Effective mitigation of high EMF regions
Enhanced safety in 6G network design
Abstract
Reconfigurable Intelligent Surfaces (RISs) are one of the key emerging 6th Generation (6G) technologies that are expected to improve the link budgets between transmitters and receivers by adding artificial propagation paths. In such re-configured propagation environment, Downlink (DL) Multi-User Multi-Input Multi-Output (MU-MIMO) brings capacity improvement to cellular networks. It benefits from the spatial dimension offered by MIMO systems to enable simultaneous transmission of independent data streams to multiple users on the same radio resources by applying appropriate Beamforming (BF) schemes. However, in some cases, serving the same subset of users for a long period of time may cause some undesired regions where the average Electromagnetic Field Exposure (EMFE) exceeds the regulatory limits. To address this challenge, we propose in this paper a novel Electromagnetic Field (EMF)…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks
