Switching element technologies for reconfigurable antennas: A comprehensive comparative reliability analysis

Reconfigurable antennas rely fundamentally on their switching elements, whose operational lifetime, failure physics, and reliability govern real-world viability across applications from cognitive radio to vehicle-to-everything (V2X) communication and beyond-5G phased arrays. Despite extensive literature on antenna topology and electromagnetic performance, a unified comparative reliability analysis spanning all principal switching technologies does not exist. This paper presents the first such framework, covering seven quantitatively benchmarked technology classes — PIN diodes, varactor diodes, RF MEMS, field-effect transistors (FETs), optical switches, liquid crystals, and graphene — plus a qualitative treatment of memristive switches as an emerging eighth candidate, with eight original contributions: (i) an expanded literature synthesis identifying prior reliability gaps; (ii) quantitative characterisation of switching speed, cycle lifetime, failure modes, and mean time to failure (MTTF); (iii) failure-physics modelling including electromigration, time-dependent dielectric breakdown (TDDB), Coffin–Manson fatigue, and dielectric charging; (iv) a cross-technology reliability ranking grounded in failure physics; (v) a four-part Monte Carlo simulation with 1 0 5 -sample Weibull failure-cycle distributions, temperature-dependent R ON degradation trajectories, and V2X cumulative failure probability curves, calibrated against published experimental data; (vi) a multi-factor parametric sensitivity study; (vii) an application-specific selection matrix with deployment case studies; and (viii) a dedicated, quantitative treatment of RF power handling and hot-/cold-switching reliability across all technologies, a factor identified as a transversal reliability discriminator independent of the specific switching mechanism. Results show semiconductor diodes offer the most mature reliability profiles ( > 1 0 9 cycles), RF MEMS delivers superior insertion loss (0.1–0.3 dB) but its endurance is strongly dependent on switching conditions, RF power, and device architecture, with substantial degradation under hot switching, and emerging materials (liquid crystals, graphene, memristive oxides) define the frontier for sub-terahertz operation and non-volatile switching, albeit with reliability databases still too immature for quantitative MTTF projection. Under a conservative 10 Hz constant-rate stress envelope, Monte Carlo simulation predicts 50% cumulative RF-MEMS failure within 52 days, rendering them contraindicated for high-duty-cycle vehicular deployments unless operated under cold-switching protection. A future research roadmap for reliability-aware reconfigurable antenna design is presented.

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Publication Details

Journal
Microelectronics Reliability
Published
2026-10-14
DOI
https://doi.org/10.1016/j.microrel.2026.116328
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
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article

Switching element technologies for reconfigurable antennas: A comprehensive comparative reliability analysis

Rathna R.
Microelectronics Reliability
Antenna Design and Analysis
article

Switching element technologies for reconfigurable antennas: A comprehensive comparative reliability analysis

Rathna R.
article en

Abstract

Reconfigurable antennas rely fundamentally on their switching elements, whose operational lifetime, failure physics, and reliability govern real-world viability across applications from cognitive radio to vehicle-to-everything (V2X) communication and beyond-5G phased arrays. Despite extensive literature on antenna topology and electromagnetic performance, a unified comparative reliability analysis spanning all principal switching technologies does not exist. This paper presents the first such framework, covering seven quantitatively benchmarked technology classes — PIN diodes, varactor diodes, RF MEMS, field-effect transistors (FETs), optical switches, liquid crystals, and graphene — plus a qualitative treatment of memristive switches as an emerging eighth candidate, with eight original contributions: (i) an expanded literature synthesis identifying prior reliability gaps; (ii) quantitative characterisation of switching speed, cycle lifetime, failure modes, and mean time to failure (MTTF); (iii) failure-physics modelling including electromigration, time-dependent dielectric breakdown (TDDB), Coffin–Manson fatigue, and dielectric charging; (iv) a cross-technology reliability ranking grounded in failure physics; (v) a four-part Monte Carlo simulation with 1 0 5 -sample Weibull failure-cycle distributions, temperature-dependent R ON degradation trajectories, and V2X cumulative failure probability curves, calibrated against published experimental data; (vi) a multi-factor parametric sensitivity study; (vii) an application-specific selection matrix with deployment case studies; and (viii) a dedicated, quantitative treatment of RF power handling and hot-/cold-switching reliability across all technologies, a factor identified as a transversal reliability discriminator independent of the specific switching mechanism. Results show semiconductor diodes offer the most mature reliability profiles ( > 1 0 9 cycles), RF MEMS delivers superior insertion loss (0.1–0.3 dB) but its endurance is strongly dependent on switching conditions, RF power, and device architecture, with substantial degradation under hot switching, and emerging materials (liquid crystals, graphene, memristive oxides) define the frontier for sub-terahertz operation and non-volatile switching, albeit with reliability databases still too immature for quantitative MTTF projection. Under a conservative 10 Hz constant-rate stress envelope, Monte Carlo simulation predicts 50% cumulative RF-MEMS failure within 52 days, rendering them contraindicated for high-duty-cycle vehicular deployments unless operated under cold-switching protection. A future research roadmap for reliability-aware reconfigurable antenna design is presented.

Microelectronics ReliabilityVol. 186
Openalex Percentile: Top 18%
Antenna Design and Analysis
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