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Two-Timescale Design for Movable Antenna Array-Enabled Multiuser Uplink Communications

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arxiv 2407.17841 v1 pith:E4BKBHCB submitted 2024-07-25 cs.IT eess.SPmath.IT

classification cs.ITeess.SPmath.IT
keywords antennapositionsarraychannelscommunicationsinstantaneousmmsemovable
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Movable antenna (MA) technology can flexibly reconfigure wireless channels by adjusting antenna positions in a local region, thus owing great potential for enhancing communication performance. This letter investigates MA technology enabled multiuser uplink communications over general Rician fading channels, which consist of a base station (BS) equipped with the MA array and multiple single-antenna users. Since it is practically challenging to collect all instantaneous channel state information (CSI) by traversing all possible antenna positions at the BS, we instead propose a two-timescale scheme for maximizing the ergodic sum rate. Specifically, antenna positions at the BS are first optimized using only the statistical CSI. Subsequently, the receiving beamforming at the BS (for which we consider the three typical zero-forcing (ZF), minimum mean-square error (MMSE) and MMSE with successive interference cancellation (MMSE-SIC) receivers) is designed based on the instantaneous CSI with optimized antenna positions, thus significantly reducing practical implementation complexities. The formulated problems are highly non-convex and we develop projected gradient ascent (PGA) algorithms to effectively handle them. Simulation results illustrate that compared to conventional fixed-position antenna (FPA) array, the MA array can achieve significant performance gains by reaping an additional spatial degree of freedom.

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Cited by 1 Pith paper

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  1. Throughput Maximization for Movable Antenna Systems with Movement Delay Consideration

    cs.IT 2024-11 conditional novelty 5.0 of 10

    A delay-aware throughput maximization framework for movable-antenna downlinks, with SCA and SDR algorithms that outperform fixed-position and delay-ignorant schemes in simulations.

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