Codesign of Unconventional Array Architectures and Antenna Elements for 5G Base Stations

被引：68

作者：

Oliveri, Giacomo ^{[1
,2
]}

Gottardi, Giorgio ^{[1
]}

Robot, Fabrizio ^{[1
]}

Polo, Alessandro ^{[1
]}

Poli, Lorenzo ^{[1
]}

Salucci, Marco ^{[1
]}

Chuan, Men ^{[3
]}

Massagrande, Claudio ^{[3
]}

Vinetti, Pietro ^{[3
]}

Mattivi, Maurizio ^{[3
]}

Lombardi, Renato ^{[3
]}

Massa, Andrea ^{[1
,2
,4
]}

机构：

[1] Univ Trento, ELEDIA Res Ctr, ELEDIA UniTN, I-38123 Trento, Italy

[2] ELEDIA Res Ctr, ELEDIA L2S, UMR8506, F-91192 Gif Sur Yvette, France

[3] Huawei Technol, I-20090 Segrate, Italy

[4] Univ Carlos III Madrid, ELEDIA UC3M, ELEDIA Res Ctr, Leganes 28911, Spain

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2017年 / 65卷 / 12期

关键词：

5G communications; 5G radiating systems; clustered arrays; integer-coded genetic algorithm (GA); multi-objective (MO) optimization; spline-shaped patches; PHASED-ARRAYS; OPTIMIZATION; DESIGN; NUMBER; ELECTROMAGNETICS; NETWORKS;

D O I：

10.1109/TAP.2017.2738065

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An innovative methodological paradigm is proposed for the design of unconventional antenna systems for future 5G base stations. In such a codesign strategy, the antenna element (a spline-shaped patch embedded in a finite-array model) and the overall irregularly clustered-array layout are simultaneously synthesized through a multiobjective antenna-shape optimization combined with a subarraying technique based on a new single-objective integer-coded genetic algorithm able to intrinsically handle constraints on the cluster shapes/types. Selected numerical examples, drawn from an exhaustive design process, are presented to assess the advantages and the effectiveness of the proposed co-design scheme in view of the final manufacturing of 5G base stations thanks to its capability to take into account the impact of mutual coupling, nonideal antenna patterns, and implementation limitations.

引用

页码：6752 / 6767

页数：16

共 34 条

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