We target the planning of a 5G cellular network under 5G service and ElectroMagnetic Fields (EMFs) constraints. We initially model the problem with a Mixed Integer Linear Programming (MILP) formulation. The pursued objective is a weighed function of next-generation Node-B (gNB) installation costs and 5G service coverage level from a massive Multiple Input Multiple Output (MIMO) system. In addition, we precisely model restrictive EMF constraints and we integrate scaling parameters to estimate the power radiated by 5G gNBs. Since the considered planning problem is NP-Hard, and therefore very challenging to be solved even for small problem instances, we design an efficient heuristic, called PLATEA, to practically solve it. Results, obtained over a realistic scenario that includes EMF exposure from pre-5G technologies (e.g., 2G, 3G, 4G), prove that the cellular planning selected by PLATEA ensures 5G service and restrictive EMF constraints. However, we demonstrate that the results are strongly affected by: i) the relative weight between gNB installation costs and 5G service coverage level, ii) the scaling parameters to estimate the exposure generated by 5G gNBs, iii) the amount of exposure from pre-5G technologies and iv) the adopted frequency reuse scheme.

Chiaraviglio, L., Di Paolo, C., Blefari Melazzi, N. (2022). 5G network planning under service and EMF constraints: formulation and solutions. IEEE TRANSACTIONS ON MOBILE COMPUTING, 21(9), 3053-3070 [10.1109/TMC.2021.3054482].

5G network planning under service and EMF constraints: formulation and solutions

Chiaraviglio L.
;
Blefari Melazzi N.
2022-01-26

Abstract

We target the planning of a 5G cellular network under 5G service and ElectroMagnetic Fields (EMFs) constraints. We initially model the problem with a Mixed Integer Linear Programming (MILP) formulation. The pursued objective is a weighed function of next-generation Node-B (gNB) installation costs and 5G service coverage level from a massive Multiple Input Multiple Output (MIMO) system. In addition, we precisely model restrictive EMF constraints and we integrate scaling parameters to estimate the power radiated by 5G gNBs. Since the considered planning problem is NP-Hard, and therefore very challenging to be solved even for small problem instances, we design an efficient heuristic, called PLATEA, to practically solve it. Results, obtained over a realistic scenario that includes EMF exposure from pre-5G technologies (e.g., 2G, 3G, 4G), prove that the cellular planning selected by PLATEA ensures 5G service and restrictive EMF constraints. However, we demonstrate that the results are strongly affected by: i) the relative weight between gNB installation costs and 5G service coverage level, ii) the scaling parameters to estimate the exposure generated by 5G gNBs, iii) the amount of exposure from pre-5G technologies and iv) the adopted frequency reuse scheme.
26-gen-2022
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/03 - TELECOMUNICAZIONI
English
Con Impact Factor ISI
5G Mobile Networks
5G Network Planning
Base Station Deployment
EMF regulations
Service and EMF constraints
Chiaraviglio, L., Di Paolo, C., Blefari Melazzi, N. (2022). 5G network planning under service and EMF constraints: formulation and solutions. IEEE TRANSACTIONS ON MOBILE COMPUTING, 21(9), 3053-3070 [10.1109/TMC.2021.3054482].
Chiaraviglio, L; Di Paolo, C; Blefari Melazzi, N
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/278608
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