Design of compact printed antennas for 5G base stations

Abstract : An innovative massive multi-objective design procedure is proposed for the synthesis of next-generation antennas for 5G base stations. The 5G antenna design problem is formulated by jointly considering several contrasting requirements in terms of bandwidth, directivity, half-power beamwidth, polarization, and neighbor element isolation. Towards this end, a finite-array model is developed which enables the simulation of a set of adjacent elements during the design process. Thanks to such an approach, the obtained design can be directly included in 5G antenna arrays without further re-optimization to compensate for mutual coupling effects. The resulting massive multi-objective problem is recast as a multi-objective one by suitably clustering the cost function terms according to their physical features, and ad-hoc global search techniques are customized and applied in order to address with the obtained highly non-linear optimization problem. Preliminary numerical results concerning a Pareto-optimal tradeoff solution are presented to validate the proposed approach.
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Submitted on : Tuesday, April 17, 2018 - 1:05:31 PM
Last modification on : Thursday, April 26, 2018 - 5:15:17 PM



Giacomo Oliveri, Fabrizio Robol, Alessandro Polo, Renato Lombardi, Men Chuan, et al.. Design of compact printed antennas for 5G base stations. 11th European Conference on Antennas and Propagation (EuCAP 2017), Mar 2017, Paris, France. ⟨10.23919/EuCAP.2017.7928417⟩. ⟨hal-01768616⟩



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