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Some power allocation algorithms for cognitive uplink satellite systems
Arthur Louchart1, Ehsan Tohidi2, Philippe Ciblat3
1Centre for Digital Systems, IMT Nord Europe, Institut Mines-Télécom, University of Lille, Lille, France.
EURASIP Journal on Wireless Communications and Networking
|April 12, 2023
Summary
Cognitive satellite communication (SatCom) enhances data rates by optimizing power allocation in multi-operator systems. Novel algorithms address inter-operator coordination and nonlinear amplifier interference for improved performance.
Area of Science:
- Satellite communication engineering
- Wireless communication systems
- Cognitive radio technology
Background:
- Increasing demand for high data rate services necessitates advanced communication solutions.
- Exclusive licensed band models face scarcity, driving the need for dynamic spectrum access.
- Cognitive satellite communication (SatCom) offers a promising approach to overcome these limitations.
Purpose of the Study:
- To develop efficient power allocation methods for multi-operator, multi-beam uplink SatCom systems.
- To address challenges posed by coexistence with Ka-band terrestrial networks under a cognitive radio paradigm.
- To mitigate interference arising from limited inter-operator information exchange and nonlinear onboard high power amplifiers (HPAs).
Main Methods:
- Distributed power allocation algorithms, including the Alternate Direction Multiplier Method (ADMM), were proposed for inter-operator coordination.
- Nonlinear-aware power allocation techniques based on Signomial Programming were developed to address HPA nonlinearities.
- Performance evaluation of proposed solutions against state-of-the-art methods.
Main Results:
- The proposed distributed ADMM-based algorithms effectively manage resource coordination among multiple SatCom operators with limited information exchange.
- Signomial Programming-based nonlinear-aware power allocation successfully mitigates interference caused by onboard HPAs.
- Both proposed solutions demonstrate superior performance compared to existing state-of-the-art methods in the challenging SatCom scenario.
Conclusions:
- The developed power allocation strategies significantly enhance the efficiency and performance of cognitive SatCom systems.
- The study provides effective solutions for managing complex interference scenarios in multi-operator, multi-beam satellite networks.
- The proposed methods represent a significant advancement in overcoming the limitations of traditional SatCom spectrum access.
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