Polynomial expansion of the precoder for power minimization in large-scale MIMO systems

This work focuses on the downlink of a single-cell large-scale MIMO system in which the base station equipped with M antennas serves K single-antenna users. In particular, we are interested in reducing the implementation complexity of the optimal linear precoder (OLP) that minimizes the total power...

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Veröffentlicht in:IEEE International Conference on Communications (2003) S. 1 - 6
Hauptverfasser: Sifaou, Houssem, Kammoun, Abla, Sanguinetti, Luca, Debbah, Merouane, Alouini, Mohamed-Slim
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2016
Schlagworte:
Antennas
Asymptotic properties
Channels
Complexity
Complexity theory
Electronics
Interference
Mathematical models
MIMO
MIMO (control systems)
Minimization
Optimization
Polynomials
Precoding
Signal to noise ratio
ISSN:1938-1883
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Zusammenfassung:This work focuses on the downlink of a single-cell large-scale MIMO system in which the base station equipped with M antennas serves K single-antenna users. In particular, we are interested in reducing the implementation complexity of the optimal linear precoder (OLP) that minimizes the total power consumption while ensuring target user rates. As most precoding schemes, a major difficulty towards the implementation of OLP is that it requires fast inversions of large matrices at every new channel realizations. To overcome this issue, we aim at designing a linear precoding scheme providing the same performance of OLP but with lower complexity. This is achieved by applying the truncated polynomial expansion (TPE) concept on a per-user basis. To get a further leap in complexity reduction and allow for closed-form expressions of the per-user weighting coefficients, we resort to the asymptotic regime in which M and K grow large with a bounded ratio. Numerical results are used to show that the proposed TPE precoding scheme achieves the same performance of OLP with a significantly lower implementation complexity.
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ISSN:1938-1883
DOI:10.1109/ICC.2016.7510948