Power Allocation for Uplink Multiband Satellite Communications With Nonlinear Impairments

In this letter, we develop some generic power allocation strategies in an uplink multiband satellite communications system when nonlinear impairments on the High-Power Amplifier onboard satellite occur. Based on the capacity closed-form expression related to receivers seeing nonlinear interference a...

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Bibliographic Details
Published in:IEEE communications letters Vol. 25; no. 8; pp. 2713 - 2717
Main Authors: Louchart, Arthur, Ciblat, Philippe, Poulliat, Charly
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Algorithms
capacity
Communications systems
Engineering Sciences
high-power amplifier
Interference
Linear programming
Logic gates
Mathematical programming
Maximization
Minimization
nonlinear interference
Optimization
Power allocation
Power amplifiers
Resource management
Satellite broadcasting
Satellite communications
Search algorithms
Signal and Image processing
power allocation
high-power amplifier
nonlinear interference
capacity
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:In this letter, we develop some generic power allocation strategies in an uplink multiband satellite communications system when nonlinear impairments on the High-Power Amplifier onboard satellite occur. Based on the capacity closed-form expression related to receivers seeing nonlinear interference as a noise, we propose practical and scalable algorithms for three power allocation problems: i) sum-power minimization, ii) maximization of minimum per-user data rate, iii) sum-rate maximization. We show that the solutions mainly rely on Geometric Programming and/or Successive Convex Approximation approaches. The proposed solutions outperform naive approaches while enabling user scalability contrary to optimal brute-force grid search algorithms.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3087408