A Phased Array Composed of Dipole with Semicircular Ring for 5G

Qi, Junwu; Zheng, Hongxing; Wang, Mengjun; Liu, Ruipeng; Tang, Can; Li, Er‐Ping

doi:10.1109/icmmt45702.2019.8992561

Cited by 1 publication

(1 citation statement)

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“…In this work, a semicircular array of dipole antennas is considered to investigate the properties of the thinned smart antenna. There are some advantages to using circular, semi-circular, or elliptical arrays in a mobile tower [26,27].…”

Section: Introductionmentioning

confidence: 99%

Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems

Khan,

Roy

2023

AEM

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Massive MIMO (multiple-input multiple-output) is a multi-user MIMO technology that can provide high-speed multimedia services in 5G wireless networks using sub-6 GHz and millimeter wave bands. The massive MIMO (MMIMO) installs array antennas in the base stations, using hundreds of transceivers with other RF modules. One of the drawbacks of the MMIMO system is its huge power consumption, and the beamforming network with RF modules for a large number of antennas is the main contributor to the power consumption. In this paper, a novel beamforming method is proposed for the low power consumption of an MMIMO system. The proposed thinned smart antenna (TSA) of a semi-circular array produces a secure beam toward the user’s terminal with reduced interference. By thinning the antenna array, some of the antenna elements are kept off, resulting in less power consumption, while the array pattern remains the same as a fully populated array with a reduced side lobe level (SLL). The sub-6 GHz band of 5 GHz is used for the design of thinned array antennas. The genetic algorithm (GA) is used to determine the array sequence in thinning, and the adaptive signal processing algorithms least mean square (LMS), recursive least square (RLS), and sample matrix inversion (SMI) are used for the beamforming of the TSA, and the corresponding algorithms are GA-LMS, GA-RLS, and GA-SMI. The power saving of 40% to 55% is achieved using TSA. The maximum SLL reductions of 13 dB, 12 dB, and 14 dB are achieved for TSA using GA-LMS, GA-RLS, and GA-SMI algorithms, respectively.

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Section: Introductionmentioning

confidence: 99%