Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain
Keke Ying, Zhen Gao, Yu Su, Tong Qin, Michail Matthaiou, Robert, Schober

TL;DR
This paper introduces a reconfigurable massive MIMO system leveraging electromagnetic domain channel information for antenna pattern design, resulting in enhanced throughput and reduced channel estimation overhead.
Contribution
It develops a novel EM domain channel representation and an optimization-based radiation pattern design method, improving precoding and channel estimation in reconfigurable massive MIMO.
Findings
Significant throughput gains over traditional mMIMO.
Reduced pilot overhead for wideband channel estimation.
Effective EM domain channel reconstruction and precoding.
Abstract
Reconfigurable massive multiple-input multiple-output (RmMIMO), as an electronically-controlled fluid antenna system, offers increased flexibility for future communication systems by exploiting previously untapped degrees of freedom in the electromagnetic (EM) domain. The representation of the traditional spatial domain channel state information (sCSI) limits the insights into the potential of EM domain channel properties, constraining the base station's (BS) utmost capability for precoding design. This paper leverages the EM domain channel state information (eCSI) for antenna radiation pattern design at the BS. We develop an orthogonal decomposition method based on spherical harmonic functions to decompose the radiation pattern into a linear combination of orthogonal bases. By formulating the radiation pattern design as an optimization problem for the projection coefficients over these…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Analysis · Antenna Design and Optimization
