TY - GEN

T1 - Power efficient low complexity precoding for massive MIMO systems

AU - Sifaou, Houssem

AU - Kammoun, Abla

AU - Sanguinetti, Luca

AU - Debbah, Merouane

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2014/12

Y1 - 2014/12

N2 - 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. © 2014 IEEE.

AB - 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. © 2014 IEEE.

UR - http://hdl.handle.net/10754/565855

UR - http://ieeexplore.ieee.org/document/7032197/

UR - http://www.scopus.com/inward/record.url?scp=84949927759&partnerID=8YFLogxK

U2 - 10.1109/GlobalSIP.2014.7032197

DO - 10.1109/GlobalSIP.2014.7032197

M3 - Conference contribution

SN - 9781479970889

SP - 647

EP - 651

BT - 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -