A simple beamforming technique for intelligent reflecting surfaces in 5G scenarios
Palabra(s) clave:
reflectarray, intelligent reflecting surface, IRS, metasurface, mm-wave 5G, 5G scenarios
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Versión del editor:
Resumen:
This contribution proposes a simple closed-form formula to compute the phase-shift distribution on Intelligent Reflecting Surfaces (IRS), which can be implemented using metasurfaces or reflectarray panels. The proposed technique is based on introducing a quadratic phase correction to the phase distribution that generates a collimated beam. The phase correction allows to independently control the half-power beamwidth (HPBW) in azimuth and elevation for low-cost passive IRS panels. The capabilities of the technique have been demonstrated by computing the phase distribution and radiation patterns of a 40 cm × 40 cm IRS that redirects the beam in azimuth and elevation and broadens the beam from 2º to 4º in elevation and from 2º to 18º in azimuth. This technique is very useful to the design of low-cost passive IRS panels.
This contribution proposes a simple closed-form formula to compute the phase-shift distribution on Intelligent Reflecting Surfaces (IRS), which can be implemented using metasurfaces or reflectarray panels. The proposed technique is based on introducing a quadratic phase correction to the phase distribution that generates a collimated beam. The phase correction allows to independently control the half-power beamwidth (HPBW) in azimuth and elevation for low-cost passive IRS panels. The capabilities of the technique have been demonstrated by computing the phase distribution and radiation patterns of a 40 cm × 40 cm IRS that redirects the beam in azimuth and elevation and broadens the beam from 2º to 4º in elevation and from 2º to 18º in azimuth. This technique is very useful to the design of low-cost passive IRS panels.
Descripción:
International Workshop on Antenna Technology – iWAT2022 (2022. Dublin, Ireland)
Patrocinado por:
The authors acknowledge the support received from the Spanish Ministry of Science and Innovation and the Spanish Research Agency within projects PID2020-114172RB-C21-2/AEI/10.13039/501100011033. This work has been co-funded by the Government of the Principality of Asturias within the project AYUD/2021/51706 and by the Spanish Ministry of Economic Affairs and Digital Transformation by the NextGenerationEU under the Recovery plan for Europe and the Recovery and Resilience Facility, within the project DISRADIO TSI-063000-2021-82.