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2020-04-19 Latest Published
By Randa Yahya Hussein Ahmed Jameel Abdulqader
Progress In Electromagnetics Research C, Vol. 169, 11-20, 2026
Abstract
This paper aims to propose efficient scenarios for constructing subarray structures based on innovative cluster configurations for high-performance beamforming. Two efficient methods, spatial assembly clustered subarray (SACS) and radial section clustered subarray (RSCS), are proposed for constructing multiple planar antenna arrays. Several array grid shapes were selected, including the rectangular array (RA), uniformly circular area randomly filling (UCARF), polycycle concentric array (PCA), and circular rectangle lattice array (CRLA). Synthesizing large arrays requires a high-performance algorithm to ensure error-free tuning. Therefore, the optimization process was assigned to the convex optimization (CO) algorithm. A set of radiation constraints was incorporated to generate a strong phased beam pattern (PBP) based on the innovative cluster structures, including steering and null steering, and a significant reduction in the sidelobe levels (SLLs). Complex excitation optimization of the subarray elements was used to meet the requirements of electromagnetic radiation. Simulation results show that the four topologies using the RSCS method offer better control than the SACS method in terms of reducing the SLL. The CRLA-RSCS method achieved -82.6 dB, the CRLA-SACS of -60 dB, the UCARF-RSCS of -45 dB, the PCA-RSCS of -39 dB, and the RA-RSCS method of -35 dB, with the other subarrayed array methods achieving -30 dB. Regarding the null steering characteristic, the CRLA-SACS method achieved a better depth, reaching -150 dB, than the other clustered array tiling methods. In all the sternification configurations, the main beam was steered at a 30-degree angle and could be reconfigured as required. Therefore, the design of such antenna arrays makes them suitable for modern and future communication applications.
2020-04-19
PIER C
Vol. 169, 11-20, 2026
download: 15
Cluster Driven Subarray Setup for Reinforcing Phased Beam Pattern: A Comparative Analysis for Four Array Grids
Randa Yahya Hussein and Ahmed Jameel Abdulqader
This paper aims to propose efficient scenarios for constructing subarray structures based on innovative cluster configurations for high-performance beamforming. Two efficient methods, spatial assembly clustered subarray (SACS) and radial section clustered subarray (RSCS), are proposed for constructing multiple planar antenna arrays. Several array grid shapes were selected, including the rectangular array (RA), uniformly circular area randomly filling (UCARF), polycycle concentric array (PCA), and circular rectangle lattice array (CRLA). Synthesizing large arrays requires a high-performance algorithm to ensure error-free tuning. Therefore, the optimization process was assigned to the convex optimization (CO) algorithm. A set of radiation constraints was incorporated to generate a strong phased beam pattern (PBP) based on the innovative cluster structures, including steering and null steering, and a significant reduction in the sidelobe levels (SLLs). Complex excitation optimization of the subarray elements was used to meet the requirements of electromagnetic radiation. Simulation results show that the four topologies using the RSCS method offer better control than the SACS method in terms of reducing the SLL. The CRLA-RSCS method achieved -82.6 dB, the CRLA-SACS of -60 dB, the UCARF-RSCS of -45 dB, the PCA-RSCS of -39 dB, and the RA-RSCS method of -35 dB, with the other subarrayed array methods achieving -30 dB. Regarding the null steering characteristic, the CRLA-SACS method achieved a better depth, reaching -150 dB, than the other clustered array tiling methods. In all the sternification configurations, the main beam was steered at a 30-degree angle and could be reconfigured as required. Therefore, the design of such antenna arrays makes them suitable for modern and future communication applications.
Cluster Driven Subarray Setup for Reinforcing Phased Beam Pattern: A Comparative Analysis for Four Array Grids
2026-04-19
PIER C
Vol. 169, 1-10, 2026
download: 12
Small-Scale Fading Analysis Under Human-Induced Blockage in Indoor Millimeter Wave Channels
Miguel Riobó Prieto, Manuel García Sánchez and Inigo Cuinas
Millimeter-wave (mmWave) radio communication systems, essential to the advancement of future networks, are highly susceptible to link degradation caused by human body obstruction. This paper presents a comprehensive experimental study of fast fading phenomena induced by pedestrians crossing indoor mmWave links, specifically at 40 GHz and 60 GHz. The measurement campaign was conducted in a realistic access point to user equipment configuration, involving over 150 participants and yielding 604 fading events, of which 431 involved full line-of-sight (LOS) blockage. The analysis focuses on the statistical characterization of the deep-fade regions within these events. Results are compared with simulations based on the Knife-Edge Diffraction (KED) model to evaluate its accuracy under dynamic blockage conditions. The statistical analysis reveals that the Weibull distribution most effectively models the fast fading observed during human-induced blockage, outperforming Rician, Rayleigh, Nakagami-m, and Normal distributions - particularly at 60 GHz, where 89% of fades aligned with the Weibull model. Simulated fades using the KED model, however, did not show a strong fit with a single distribution yielding similar results to the Rician, Weibull, and Nakagami-m. These findings underscore the influence of diffracted multipath components in determining the statistical behavior of fast fading. The study confirms the limitations of existing diffraction models in capturing the full complexity of dynamic human blockage and highlights the need for refined modeling approaches. This work contributes critical insights toward the robust design and performance prediction of future indoor mmWave communication systems.
Small-Scale Fading Analysis under Human-Induced Blockage in Indoor Millimeter Wave Channels