TY - GEN
T1 - Asymptotic analysis of downlink MISO systems over Rician fading channels
AU - Falconet, Hugo
AU - Sanguinetti, Luca
AU - Kammoun, Abla
AU - Debbah, Merouane
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 305123, ERC
PY - 2016/6/24
Y1 - 2016/6/24
N2 - In this work, we focus on the ergodic sum rate in the downlink of a single-cell large-scale multi-user MIMO system in which the base station employs N antennas to communicate with K single-antenna user equipments. A regularized zero-forcing (RZF) scheme is used for precoding under the assumption that each link forms a spatially correlated MIMO Rician fading channel. The analysis is conducted assuming N and K grow large with a non trivial ratio and perfect channel state information is available at the base station. Recent results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signal-to-interference-plus-noise ratio as a function of the system parameters, the spatial correlation matrix and the Rician factor. Numerical results are used to evaluate the performance gap in the finite system regime under different operating conditions. © 2016 IEEE.
AB - In this work, we focus on the ergodic sum rate in the downlink of a single-cell large-scale multi-user MIMO system in which the base station employs N antennas to communicate with K single-antenna user equipments. A regularized zero-forcing (RZF) scheme is used for precoding under the assumption that each link forms a spatially correlated MIMO Rician fading channel. The analysis is conducted assuming N and K grow large with a non trivial ratio and perfect channel state information is available at the base station. Recent results from random matrix theory and large system analysis are used to compute an asymptotic expression of the signal-to-interference-plus-noise ratio as a function of the system parameters, the spatial correlation matrix and the Rician factor. Numerical results are used to evaluate the performance gap in the finite system regime under different operating conditions. © 2016 IEEE.
UR - http://hdl.handle.net/10754/621359
UR - http://ieeexplore.ieee.org/document/7472413/
UR - http://www.scopus.com/inward/record.url?scp=84973338407&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2016.7472413
DO - 10.1109/ICASSP.2016.7472413
M3 - Conference contribution
SN - 9781479999880
SP - 3926
EP - 3930
BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -