Throughput analysis of movable antenna systems with mobility exploitation models

Candeias, Pedro; Oliveira, Rodolfo

http://hdl.handle.net/10362/183627

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
Throughput_analysis_of_movable_antenna_systems_with_mobility_exploitation_models.pdf		1.5 MB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Candeias, Pedro

Oliveira, Rodolfo

Resumo(s)

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.

Descrição

Funding Information: This work was supported by Fundação para a Ciência e Tecnologia, Portugal, by project reference UIDB/50008/2020, and DOI identifier https://doi.org/10.54499/UIDB/50008/2020, and by project reference 2022.087 86.PTDC and DOI identifier https://doi.org/10.54499/2022. 08786.PTDC. Publisher Copyright: © 2025 The Authors