Exploring the Performance of Fluid Antenna System (FAS)-Aided B5G mmWave Networks

Результат исследований

4 Цитирования (Scopus)

Аннотация

Reconfigurability and innovative design approaches to radio frequency components and network infrastructure are critical for the development of future communication networks, particularly beyond 5G (B5G), which aim to support the proliferation of Internet of Things (IoT) devices. Leveraging its favorable performance characteristics and potentially low cost, the fluid antenna system (FAS) has emerged as a compelling solution, garnering significant interest due to its reconfigurability, small form factor, flexibility, and transparency. This paper presents a comprehensive analysis of FAS in the context of B5G networks, with a focus on its theoretical performance and practical implementations. By deriving formulas for the semi-infinite outage probability and ergodic capacity of FAS receivers in equally correlated Nakagami-m channels, we showcase the remarkable diversity performance exhibited by FAS receivers, even with a half-wavelength antenna size. Monte Carlo simulations are employed to validate our theoretical findings in terms of the number of antenna ports and transmission power.

Язык оригиналаEnglish
Название основной публикацииGLOBECOM 2023 - 2023 IEEE Global Communications Conference
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы7568-7573
Число страниц6
ISBN (электронное издание)9798350310900
DOI
СостояниеPublished - 2023
Событие2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur
Продолжительность: дек. 4 2023дек. 8 2023

Серия публикаций

НазваниеProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (печатное издание)2334-0983
ISSN (электронное издание)2576-6813

Conference

Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
Страна/TерриторияMalaysia
ГородKuala Lumpur
Период12/4/2312/8/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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