arXiv subjects

Azra Zejnilagic

Publications and source records attributed to Azra Zejnilagic.

2 recordsLinked to original sources

arXiv2024

EMF Exposure Mitigation via MAC Scheduling

International standards bodies define Electromagnetic field (EMF) emission requirements that can be translated into control of the base station actual Effective Isotropic Radiated Power (EIRP), i.e., averaged over a sliding time window. In this work we show how to comply with such requirements by designing a water-filling power allocation method operating at the MAC scheduler level. Our method ensures throughput fairness across users while constraining the EIRP to a value that is produced by an outer-loop procedure which is not the focus of our paper. The low computational complexity of our technique is appealing given the tight computational requirements of the MAC scheduler. Our proposal is evaluated against the prior art approaches through massive-MIMO system level simulations that include realistic modeling of physical and MAC level cellular procedures. We conclude that our proposal effectively mitigates EMF exposure with considerably less impact on network performance, making it a standout candidate for 5G and future 6G MAC scheduler implementations.

cs.NI↗

arXiv2024

Smooth Actual EIRP Control for EMF Compliance with Minimum Traffic Guarantees

To mitigate Electromagnetic Fields (EMF) human exposure from base stations, international standards bodies define EMF emission requirements that can be translated into limits on the "actual" Equivalent Isotropic Radiated Power (EIRP), i.e., averaged over a sliding time window. We aim to enable base stations to adhere to these constraints while mitigating any impact on user performance. Specifically, our objectives are to: i) ensure EMF exposure compliance using actual EIRP control when implementing the "actual maximum approach" described in IEC 62232:2022, ii) guarantee a minimum EIRP level, and iii) prevent resource shortages at all times. We first investigate exact and conservative algorithms, with linear and constant complexity, respectively, to compute the maximum allowed EIRP consumption under constraints i) and ii), referred to as EIRP "budget". Subsequently, we design a control method based on Drift-Plus-Penalty theory that preemptively curbs EIRP consumption only when needed to avoid future resource shortages.

cs.IT↗