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Nonlinear impairments aware resource allocation for cognitive satellite systems

Abstract : This thesis addresses the problem of resource allocation for cognitive satellite communications.In a context of increasing throughput demands, satellite communication systems are required to use frequencies already used by terrestrial systems. The underlay cognitive radio paradigm allows a secondary network to use the same frequency band that a primary network uses. However, the interference created by the secondary network must not exceed a certain limit, which is set by the primary network.We consider a cognitive satellite communication system, where terrestrial users transmit information to a satellite, and that satellite sends it back to a terrestrial gateway in a relay-like fashion.In this way, the terrestrial users of the satellite secondary network generate interference on the primary network, which is due to the secondary lobes of the transmitting antennas. The management of the transmission power of the secondary satellite users becomes essential to limit the interference on the primary terrestrial network and, at the same time, to reach the maximum throughput of the system. Moreover, taking into account the nonlinearities coming from the satellite, especially the high-power amplifier, becomes crucial when the satellite is used at its maximum capabilities.This is because the non-linear effects produced by the amplifier, modeled by Volterra series, degrade the system throughput.In this context, the thesis consists in proposing resource allocation algorithms in order to optimize the sum-rate of the satellite system, while respecting the interference limits set by the primary terrestrial network, taking into account the nonlinear effects generated by the satellite components.
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Submitted on : Friday, December 17, 2021 - 10:15:06 AM
Last modification on : Saturday, December 18, 2021 - 3:17:43 AM


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  • HAL Id : tel-03485181, version 1


Arthur Louchart. Nonlinear impairments aware resource allocation for cognitive satellite systems. Information Theory [math.IT]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT031⟩. ⟨tel-03485181⟩



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