Nonlinear impairments aware resource allocation for cognitive satellite systems
Abstract. The work presented in this seminar 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, thanks to the underlay cognitive radio paradigm. The management of the transmission power of 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. Indeed, the nonlinear degradations produced by the amplifier, modeled by Volterra series, affect the system throughput. In this context, the seminar presents resource allocation algorithms 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.
Arthur Louchart received the Ph.D. degree in Informations, Communications and Networks from Institut Polytechnique de Paris, France, in 2021. He is currently an assistant professor at IMT Nord Europe, France.