Acta Astronautica, Oct-Nov, 2013, Vol.91, p.131(6)
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.actaastro.2013.05.019 Byline: Michael Bergmann, Wilfried Gappmair, Barbara Suesser-Rechberger, Otto Koudelka Abstract: Bandwidth is an expensive and scarce resource, thus its efficient exploitation is of paramount importance. Recent communication satellites feature sophisticated spatial access strategies through spot beams providing this way a total throughput in the range of 100Gbit/s. Next generations of communication satellites, as postulated in the Satellite Communications Network of Experts (SatNEx) III, a project funded by the European Space Agency (ESA) for advanced research in satellite communications, require technological developments to achieve the Tbit/s region. Multibeam architectures formed by a central gateway, a multibeam satellite, and an aggressive frequency reuse strategy can meet such ambitious design goals. Interference problems are tackled by appropriate countermeasures such as (joint) precoding and beamforming on the forward link as well as multi-user detection on the return link; these methods require accurate and timely knowledge of the channel state, which in turn necessitates suitable algorithms for channel estimation. This paper addresses performance issues related to channel state estimation on the symbol-synchronous forward link and the frame-synchronous return link. It highlights for both directions the potential performance gain by assuming a priori knowledge of the user position, in this context referred to as location-aware channel estimation. Author Affiliation: (a) Institute of Communication Networks and Satellite Communications, Graz University of Technology, Austria (b) Institute of Microwave and Photonic Engineering, Graz University of Technology, Austria Article History: Received 28 November 2012; Revised 23 May 2013; Accepted 29 May 2013 Article Note: (footnote) [star] This paper was presented during the 63rd IAC in Naples.
Satellite Communications -- Statistics ; Algorithms
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