Machine Learning Approach to QoS Adjustment Leveraging LCR in Mobile Networks Limited by Beaulieu-Xie Fading and Co-Channel Interference-Reference-Cited by-同舟云学术

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Machine Learning Approach to QoS Adjustment Leveraging LCR in Mobile Networks Limited by Beaulieu-Xie Fading and Co-Channel Interference

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN)
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Author:

Krstić Dragana¹,Suljović Suad²,Petrović Nenad³,Nestorović Goran²,Milić Dejan¹

Affiliation:

1. Telecommunications University of Niš,Faculty of Electronic Engineering,Niš,Serbia

2. The Academy of Applied Technical Studies Belgrade,Applied Engineering Science,Belgrade,Serbia

3. University of Niš, Faculty of Electronic Engineering,Computer Science,Niš,Serbia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192101/10192104/10192132.pdf?arnumber=10192132

Reference22 articles.

1. Performance analysis of Beaulieu-Xie fading channel with MRC diversity reception;manpreet;Transactions on Emerging Telecommunications Technologies,2020

2. Outage probability of macrodiversity reception in the presence of Gamma long-term fading, Rayleigh short-term fading and Rician co-channel interference

3. Effect of Microdiversity and Macrodiversity on Average Bit Error Probability in Gamma-Shadowed Rician Fading Channels

4. Machine learning within information systems course using Weka in Java: Monkeypox case studies;petrovi?;XVI International SAUM Conference,2022

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