Publicação
Dissertation Report Evaluation of Micro-mobility Patterns in Movable Antenna Systems
| Resumo: | Movable Antennas (MA) is a recently developed technology that can fully exploit the wireless channel spatial variation in a specific region by allowing the antenna to change its position within that region. In particular, it enables the antennas at the transmitter and/or the receiver to dynamically change their position to one where the channel conditions are better, therefore enhancing the communication performance of wireless systems. This key feature of MA provides performance advantages in multiple metrics, especially when compared to the typical Fixed Position Antennas (FPA). These include signal power improvement, interference mitigation, flexible beamforming, and spatial multiplexing. The advantages brought by the MA technology make it an interesting approach to recent and rising scenarios such as Industrial Internet of Things (IoT), Smart Homes, Robotic Networks, and Satellite Communications. Despite the multiple benefits and applications, MAs face some practical challenges such as channel estimation and antenna position optimization. It is crucial to tackle these issues to fully take advantage of this technology. This thesis focuses on the antenna positioning problem, exploring how adopting simple mobility patterns for movable antennas can enhance system capacity. By introducing and analyzing four distinct mobility patterns, this work evaluates their performance and impact across various scenarios with different antenna configurations and numbers of paths. A methodology is proposed to assess the trade-off between antenna movement time and throughput during the exploitation phase, emphasizing the use of simple mobility patterns over complex optimization algorithms. This approach aims to reduce the system complexity while achieving notable improvements, offering a comprehensive overview of the potential of movable antennas in diverse communication setups. The achieved results show that the performance of the MAs can achieve more than 70% of the optimal capacity in both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) configurations when compared to an FPA system, showing the effectiveness of the proposed system. |
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| Autores principais: | Candeias, Pedro Sobral |
| Assunto: | Movable Antenna Wireless Systems Simple Antenna Movement Patterns Performance Evaluation |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | Movable Antennas (MA) is a recently developed technology that can fully exploit the wireless channel spatial variation in a specific region by allowing the antenna to change its position within that region. In particular, it enables the antennas at the transmitter and/or the receiver to dynamically change their position to one where the channel conditions are better, therefore enhancing the communication performance of wireless systems. This key feature of MA provides performance advantages in multiple metrics, especially when compared to the typical Fixed Position Antennas (FPA). These include signal power improvement, interference mitigation, flexible beamforming, and spatial multiplexing. The advantages brought by the MA technology make it an interesting approach to recent and rising scenarios such as Industrial Internet of Things (IoT), Smart Homes, Robotic Networks, and Satellite Communications. Despite the multiple benefits and applications, MAs face some practical challenges such as channel estimation and antenna position optimization. It is crucial to tackle these issues to fully take advantage of this technology. This thesis focuses on the antenna positioning problem, exploring how adopting simple mobility patterns for movable antennas can enhance system capacity. By introducing and analyzing four distinct mobility patterns, this work evaluates their performance and impact across various scenarios with different antenna configurations and numbers of paths. A methodology is proposed to assess the trade-off between antenna movement time and throughput during the exploitation phase, emphasizing the use of simple mobility patterns over complex optimization algorithms. This approach aims to reduce the system complexity while achieving notable improvements, offering a comprehensive overview of the potential of movable antennas in diverse communication setups. The achieved results show that the performance of the MAs can achieve more than 70% of the optimal capacity in both Single-Input Single-Output (SISO) and Multiple-Input Multiple-Output (MIMO) configurations when compared to an FPA system, showing the effectiveness of the proposed system. |
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