{"title":"Dynamic Array-of-Subarrays Architecture for Wideband Multi-Antenna Systems","authors":"Seungnyun Kim;Moe Z. Win","doi":"10.1109/JSTSP.2025.3539208","DOIUrl":null,"url":null,"abstract":"Recently, wideband beamforming realized by extremely large-scale antenna array (ELAA) systems have garnered significant interest as a means to dramatically improve throughput of next generation (xG) networks. However, traditional phase shifter (PS)-based beamforming schemes might not work well in wideband ELAA systems due to the beam squint effect, where beams at different frequencies become misaligned. While the use of true time delay (TTD) can mitigate the beam squint effect by generating frequency-dependent beamforming vectors, the conventional TTD-based beamforming schemes suffer from significant array gain loss caused by the discrepancies between the desired directional beams and the generated beams. This beam misalignment issue becomes even more pronounced in the wideband ELAA systems due to the nonlinear near-field characteristics described by the spherical wave propagation. In this paper, we propose a wideband dynamic array-of-subarrays (WDAoSA) architecture that dynamically configures connections between TTDs and PS subarrays using a switch network. By optimizing the subarray connections as well as the TTD time delays and PS phase shifts, WDAoSA can effectively maximize the array gain of wideband ELAA systems. Numerical results demonstrate that WDAoSA achieves significant improvements in terms of array gain and spectral efficiency over the conventional TTD-based beamforming schemes.","PeriodicalId":13038,"journal":{"name":"IEEE Journal of Selected Topics in Signal Processing","volume":"19 5","pages":"840-855"},"PeriodicalIF":8.5000,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11275884/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, wideband beamforming realized by extremely large-scale antenna array (ELAA) systems have garnered significant interest as a means to dramatically improve throughput of next generation (xG) networks. However, traditional phase shifter (PS)-based beamforming schemes might not work well in wideband ELAA systems due to the beam squint effect, where beams at different frequencies become misaligned. While the use of true time delay (TTD) can mitigate the beam squint effect by generating frequency-dependent beamforming vectors, the conventional TTD-based beamforming schemes suffer from significant array gain loss caused by the discrepancies between the desired directional beams and the generated beams. This beam misalignment issue becomes even more pronounced in the wideband ELAA systems due to the nonlinear near-field characteristics described by the spherical wave propagation. In this paper, we propose a wideband dynamic array-of-subarrays (WDAoSA) architecture that dynamically configures connections between TTDs and PS subarrays using a switch network. By optimizing the subarray connections as well as the TTD time delays and PS phase shifts, WDAoSA can effectively maximize the array gain of wideband ELAA systems. Numerical results demonstrate that WDAoSA achieves significant improvements in terms of array gain and spectral efficiency over the conventional TTD-based beamforming schemes.
期刊介绍:
The IEEE Journal of Selected Topics in Signal Processing (JSTSP) focuses on the Field of Interest of the IEEE Signal Processing Society, which encompasses the theory and application of various signal processing techniques. These techniques include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals using digital or analog devices. The term "signal" covers a wide range of data types, including audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and others.
The journal format allows for in-depth exploration of signal processing topics, enabling the Society to cover both established and emerging areas. This includes interdisciplinary fields such as biomedical engineering and language processing, as well as areas not traditionally associated with engineering.