Qianqian Zhang, Zhengjiang Han, Folong Cao, Erfu Wang
{"title":"Joint optimization algorithm for continuous/discrete phase beamforming in active Reconfigurable Intelligent Surfaces","authors":"Qianqian Zhang, Zhengjiang Han, Folong Cao, Erfu Wang","doi":"10.1016/j.aeue.2025.155996","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, a unified optimization framework for both continuous and discrete phase configurations of active Reconfigurable Intelligent Surfaces (RIS) phases method is proposed. An adaptive temperature simulated annealing algorithm optimize the phase of the active RIS reflections. Joint optimization of base station (BS) beamforming and active RIS elements is achieved through alternating iterations to maximize the quality of the signal at the user’s end, while accounting for active RIS noise. Simulations verify the proposed scheme’s applicability to both continuous and discrete phase systems. Furthermore, it is demonstrated that 4-bit discrete-phase quantization is comparable to continuous-phase signal enhancement.</div></div>","PeriodicalId":50844,"journal":{"name":"Aeu-International Journal of Electronics and Communications","volume":"201 ","pages":"Article 155996"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeu-International Journal of Electronics and Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1434841125003371","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a unified optimization framework for both continuous and discrete phase configurations of active Reconfigurable Intelligent Surfaces (RIS) phases method is proposed. An adaptive temperature simulated annealing algorithm optimize the phase of the active RIS reflections. Joint optimization of base station (BS) beamforming and active RIS elements is achieved through alternating iterations to maximize the quality of the signal at the user’s end, while accounting for active RIS noise. Simulations verify the proposed scheme’s applicability to both continuous and discrete phase systems. Furthermore, it is demonstrated that 4-bit discrete-phase quantization is comparable to continuous-phase signal enhancement.
期刊介绍:
AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including:
signal and system theory, digital signal processing
network theory and circuit design
information theory, communication theory and techniques, modulation, source and channel coding
switching theory and techniques, communication protocols
optical communications
microwave theory and techniques, radar, sonar
antennas, wave propagation
AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.