2019
DOI: 10.1109/access.2019.2947778
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A Novel Compact Quadruple-Band Indoor Base Station Antenna for 2G/3G/4G/5G Systems

Abstract: This paper presents a quadruple-band indoor base station antenna for 2G/3G/4G/5G mobile communications, which covers multiple frequency bands of 0.8-0.96 GHz, 1.7-2.7 GHz, 3.3-3.8 GHz and 4.8-5.8 GHz and has a compact size with its overall dimensions of 204 × 175 × 39 mm 3. The lower frequency bands over 0.8-0.96 GHz and 1.7-2.7 GHz are achieved through the combination of an asymmetrical dipole antenna and parasitic patches. A stepped-impedance feeding structure is used to improve the impedance matching of the… Show more

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Cited by 25 publications
(23 citation statements)
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“…Therefore, the design optimization process is divided into two stages to reduce the number of design variables and ad-hoc design knowledge is used. Although succeeds, the design parameter reduction method in [23] is only for this design case and is not applicable to other cases.…”
Section: Experimental Results and Verificationsmentioning
confidence: 99%
See 3 more Smart Citations
“…Therefore, the design optimization process is divided into two stages to reduce the number of design variables and ad-hoc design knowledge is used. Although succeeds, the design parameter reduction method in [23] is only for this design case and is not applicable to other cases.…”
Section: Experimental Results and Verificationsmentioning
confidence: 99%
“…In this section, two real-world challenging base station antennas are used to demonstrate the TR-SADEA method. The first example is a 2G to 5G indoor base station antenna (5G-IBSA) [23] with 45 design variables and 12 specifications. The radiation pattern for indoor base station antennas is not strictly required for the optimal broadside radiation, but the antenna should be of relatively low profile (compact size) and low-cost.…”
Section: Experimental Results and Verificationsmentioning
confidence: 99%
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“…The parallel surrogate model-assisted differential evolution for antenna synthesis (PSADEA) method [16][17][18] has been employed to find the optimal design parameters, so as to satisfy the specifications. PSADEA is the state-of-the-art in the SADEA algorithm series [18][19][20]; which offers 3 to 20 times optimization efficiency improvement and higher optimization ability compared to several popular antenna optimizers [21,22].…”
mentioning
confidence: 99%