Analysis on the Neural Network-aided Satellite Resource Allocation Schemes

Author:

Jo Gyuseong1,Chan Satya1,Kim Sooyoung1,Oh Daesub2

Affiliation:

1. IT Convergence Research Center Jeonbuk, National University,Division of Electronics Engineering,Jeonju,Korea

2. ETRI,Radio & Satellite Research Division,Deajeon,Korea

Publisher

IEEE

Reference15 articles.

1. Digital Video Broadcasting (DVB); Second generation framing structure, channel coding and modulation systems for Broadcasting, Interactive Services, News Gathering and other broadband satellite applications;Part 2 DVB-S2 Extensions (DVB-S2X),2020

2. Adam: A method for stochastic optimization;kingma;CoRR,2015

3. Recommendation ITU-R S.2131 - A method for the determination of performance objectives for satellite hypothetical reference digital paths using adaptive coding and modulation,2019

4. Study on the Evaluation of Performance Objectives of Satellite Systems Using Adaptive Transmissions

5. Dynamic power and bandwidth allocation for DVB‐based LEO satellite systems

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1. Evaluation of Intelligent Resource Allocation Methods for Interference-Limited Satellite Networks;2023 22nd International Symposium on Communications and Information Technologies (ISCIT);2023-10-16

2. Benefits of Ka-band GaN MMIC High Power Amplifiers With Wide Bandwidth and High Spectral/Power Added Efficiencies for Cognitive Radio Platforms;2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW);2023-06-20

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