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In this paper, we propose a novel approach for downlink transmission from asatellite swarm towards a ground station (GS). These swarms have the benefit ofmuch higher spatial separation in the transmit antennas than traditionalsatellites with antenna arrays, promising a massive increase in spectralefficiency. The resulting precoder and equalizer have very low demands oncomputational complexity, inter-satellite coordination and channel estimation.This is achieved by taking knowledge about the geometry between satellites andGS into account. For precoding, each satellite only requires its angles ofdeparture (AoDs) towards the GS and it turns out that almost optimal rates canbe achieved if the satellites transmit independent data streams. For theequalizer, the GS requires only knowledge about the angles of arrival (AoAs)from all satellites. Furthermore, we show that, by choosing a properinter-satellite distance, the proposed low-complexity approach achieves thetheoretical upper bound in terms of data rate. This optimal inter-satellitedistance is obtained analytically under simplifying assumption and provides aheuristic for practical scenarios. Furthermore, a novel approach to increasethe robustness of the proposed precoder and equalizer against imperfect AoD andAoA knowledge is proposed by exploiting the statistics of the estimation error.

Distributed Downlink Precoding and Equalization in Satellite Swarms