Performance Analysis of Sparse Vector Coding over $\kappa-\mu$ Fading Channel-Reference-Cited by-同舟云学术

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Performance Analysis of Sparse Vector Coding over $\kappa-\mu$ Fading Channel

Published:2022-04-21 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Advanced Computing and Endogenous Security
language:
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Author:

Guo Jingjing¹,Zhang Xuewan¹,You Li²,Xu Xiaoming³,Zhang Di¹

Affiliation:

1. School of Information Engineering, Zhengzhou University,Zhengzhou,China,450001

2. Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096

3. PLA Strategic Support Force Information Engineering University,Zhengzhou,China,450002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013311/10013093/10013098.pdf?arnumber=10013098

Reference18 articles.

1. Performance Analysis of Digital Communication Systems Over $\alpha{-}\eta{-}\mu$ Fading Channels

2. Secrecy Capacity Analysis Over $\kappa $ – $\mu $ Fading Channels: Theory and Applications

3. Effective Rate of MISO Systems Over $\kappa $ - $\mu $ Shadowed Fading Channels

4. Performance Analysis of FD-NOMA-Based Decentralized V2X Systems

5. Fundamentals of Wireless Communication

Cited by 1 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. Improved Reliability of Enhanced Sparse Vector Coding Using Maximal Ratio Transmission for Short Packet Transmission;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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