{"title":"Throughput analysis of movable antenna systems with mobility exploitation models","authors":"Pedro Candeias, Rodolfo Oliveira","doi":"10.1016/j.phycom.2025.102638","DOIUrl":null,"url":null,"abstract":"<div><div>Movable antenna systems offer a promising approach to enhancing wireless communications by dynamically adjusting antenna positions to optimize signal reception. This paper explores the performance of a movable antenna at the receiver side considering a multi-tap propagation scenario in both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) systems. We introduce and evaluate four distinct mobility patterns that dictate antenna movement. The mobility patterns are part of the exploitation phase, aimed at probing the achievable capacity at different antenna locations. Additionally, we account for the time required to physically move the antenna in the system throughput, considering the worst-case scenario where the transmission is temporarily paused during the antenna motion. Our analysis assesses the performance of mobility pattern heuristics by examining their ability to balance the tradeoff between capacity gains from exploring new antenna positions and the downtime due to antenna movement. Simulation results show that specific antenna mobility patterns can achieve up to 70% of the SISO’s optimal throughput or 77% of the MIMO’s optimal throughput. The results reported in this paper show that simple mobility patterns more than double or triple the MIMO’s or SISO’s throughput compared to a scenario where the antenna remains fixed in a random position, respectively, underscoring the significant potential of the antenna mobility patterns in enhancing the MA system performance.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"70 ","pages":"Article 102638"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Communication","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874490725000412","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Movable antenna systems offer a promising approach to enhancing wireless communications by dynamically adjusting antenna positions to optimize signal reception. This paper explores the performance of a movable antenna at the receiver side considering a multi-tap propagation scenario in both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) systems. We introduce and evaluate four distinct mobility patterns that dictate antenna movement. The mobility patterns are part of the exploitation phase, aimed at probing the achievable capacity at different antenna locations. Additionally, we account for the time required to physically move the antenna in the system throughput, considering the worst-case scenario where the transmission is temporarily paused during the antenna motion. Our analysis assesses the performance of mobility pattern heuristics by examining their ability to balance the tradeoff between capacity gains from exploring new antenna positions and the downtime due to antenna movement. Simulation results show that specific antenna mobility patterns can achieve up to 70% of the SISO’s optimal throughput or 77% of the MIMO’s optimal throughput. The results reported in this paper show that simple mobility patterns more than double or triple the MIMO’s or SISO’s throughput compared to a scenario where the antenna remains fixed in a random position, respectively, underscoring the significant potential of the antenna mobility patterns in enhancing the MA system performance.
期刊介绍:
PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.
Topics of interest include but are not limited to:
Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.