Power Efficient Low Complexity Precoding for Massive MIMO Systems

Houssem Sifaou (1, 2) , Abla Kammoun (2) , Luca Sanguinetti (3, 4) , Mérouane Debbah (5, 4) , Mohamed-Slim Alouini (2)

1 Ecole Polytechnique de Tunisie
2 KAUST - King Abdullah University of Science and Technology [Saudi Arabia]
3 University of Pisa - Università di Pisa
4 Mathematical and Algorithmic Sciences Lab [Paris]
5 Chaire Radio Flexible - Chaire Radio Flexible Alcatel-Lucent/Supélec

This work aims at designing a low-complexity precoding technique in the downlink of a large-scale multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with M antennas to serve K single-antenna user equipments. This is motivated by the high computational complexity required by the widely used zero-forcing or regularized zero-forcing precoding techniques, especially when K grows large. To reduce the computational burden, we adopt a precoding technique based on truncated polynomial expansion (TPE) and make use of the asymptotic analysis to compute the deterministic equivalents of its corresponding signal-to-interference-plus-noise ratios (SINRs) and transmit power. The asymptotic analysis is conducted in the regime in which M and K tend to infinity with the same pace under the assumption that imperfect channel state information is available at the BS. The results are then used to compute the TPE weights that minimize the asymptotic transmit power while meeting a set of target SINR constraints. Numerical simulations are used to validate the theoretical analysis.

Domaines: Informatique [cs]; Mathématiques [math]; Sciences de l'ingénieur [physics]

Houssem Sifaou, Abla Kammoun, Luca Sanguinetti, Mérouane Debbah, Mohamed-Slim Alouini. Power Efficient Low Complexity Precoding for Massive MIMO Systems. 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec 2014, Atlanta, United States. ⟨10.1109/globalsip.2014.7032197⟩. ⟨hal-01098935⟩