On the Extended $\eta$-$\mu$ Model: New Results and Applications to IRS-Aided Systems-Reference-Cited by-同舟云学术

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On the Extended $\eta$-$\mu$ Model: New Results and Applications to IRS-Aided Systems

Published:2023-04 Issue:4 Volume:72 Page:4133-4142
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Tejerina Gustavo Rodrigues de Lima¹^ORCID,da Silva Carlos Rafael Nogueira²,de Souza Rausley Adriano Amaral¹^ORCID,Yacoub Michel Daoud³^ORCID

Affiliation:

1. National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil

2. Department of Electrical Engineering, Federal University of Triângulo Mineiro, Uberaba, Brazil

3. Wireless Technology Laboratory, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil

Funder

CNPq

São Paulo Research Foundation

RNP, with resources from MCTIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10104191/09950347.pdf?arnumber=9950347

Reference43 articles.

1. Statistics of the Effective Massive MIMO Channel in Correlated Rician Fading

2. On the Sum of Extended η-μ Variates With MRC Applications

3. Downlink Transmission of Multicell Distributed Massive MIMO With Pilot Contamination Under Rician Fading

4. Extended η-μ Fading Models

5. Exact Coverage Analysis of Intelligent Reflecting Surfaces With Nakagami-M Channels

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on IRS-Assisted NOMA-Based 6G Wireless Network: Design Perspectives, Challenges and Future Directions;IEEE Transactions on Network and Service Management;2024-04

2. Performance Analysis of MRC Diversity Reception Over Double Hoyt Fading Channels;IEEE Access;2024

3. BER Analysis of IRS-Assisted Wireless Communications in Generalized Gaussian Noise;IEEE Transactions on Vehicular Technology;2023

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