Leveraging Channel Capacity of a Macro Diversity MIMO System in Gamma-Shadowed Nakagami-m Fading Channel for QoS estimation using Quantum Machine Learning-Reference-Cited by-同舟云学术

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Leveraging Channel Capacity of a Macro Diversity MIMO System in Gamma-Shadowed Nakagami-m Fading Channel for QoS estimation using Quantum Machine Learning

Published:2022-11-15 Issue: Volume: Page:
ISSN:
Container-title:2022 30th Telecommunications Forum (TELFOR)
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Author:

Suljovic Suad¹,Vujovic Vuk²,Markovic Filip³,Milic Dejan⁴,Petrovic Nenad⁵,Lazarevic Angelina⁴

Affiliation:

1. Academy of Technical Vocational Studies,Applied Engineering Sciences,Belgrade,Serbia

2. MB University,Computer Science and Informatics Information Technology,Belgrade,Serbia

3. University of Prišrina,Faculty of Technical Sciences,Computer Science and Informatics,Mitrovica,Serbia

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

5. University of Niš,Faculty of Electronic Engineering,Computer Science and Informatics,Niš,Serbia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983691.pdf?arnumber=9983691

Reference18 articles.

1. Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of κ-µ and α-µ Fading Distributions

2. Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques

3. QUANTUM SOFTWARE: Quantum Machine Learning in Telecommunication

4. Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning

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