@article{
 title = {Combined Ray-tracing/FDTD and Network planner methods for the design of massive MIMO networks},
 type = {article},
 year = {2020},
 pages = {206371-206387},
 volume = {8},
 id = {a5920c42-b819-3e77-9e15-bec2708c8751},
 created = {2020-11-03T11:16:48.108Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T16:55:13.533Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {9246544},
 source_type = {article},
 private_publication = {false},
 abstract = {The design of a massive MIMO network requires a channel model that captures the Spatio-temporal dimensions of the propagation environment. In this paper, we propose a novel method combining Hybrid Raytracing - Finite difference time domain (FDTD) and network planner tools to address this requirement. This method provides accurate and realistic EMF exposure models for the design of a massive MIMO network. Using this method, we proceed with the optimization of the BS's locations under the low power consumption and low EMF exposure constraints. Assuming equal preference of the optimization objectives, the simulations show that the uplink localized 10g dose appears to be the dominant factor of the localized 10g EMF exposure. Moreover, a massive MIMO network designed to serve 224 simultaneous active users at the same time-frequency resource is subject to an increase of the total whole-body dose (2 times higher in downlink and +18% in uplink), compared to a design with 14 active users. However, in the same conditions, the downlink localized 10g dose reduces (20 times lower) whereas the uplink localized 10g dose increases (+23%) in comparison with the scenario with fewer users (14). Besides, the electromagnetic field strength in all locations obtained with this new method is 2 times weaker compared to a 4G LTE network, while complying with the international guidelines.},
 bibtype = {article},
 author = {Matalatala, M and Shikhantsov, S and Deruyck, M and Tanghe, E and Plets, D and Goudos, S and Martens, L and Joseph, W},
 doi = {10.1109/ACCESS.2020.3035317},
 journal = {IEEE Access}
}

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