TY - JOUR
T1 - Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
AU - Papazafeiropoulos, Anastasios
AU - Pan, Cunhua
AU - Elbir, Ahmet M.
AU - Nguyen, Van Dinh
AU - Kourtessis, Pandelis
AU - Chatzinotas, Symeon
N1 - Funding Information:
This work was supported by Luxembourg National Research Fund (FNR) through the CORE Project under Grant RISOTTI C20/IS/14773976, and in part by the University of Hertfordshire's 5-year Vice Chancellor's Research Fellowship.
Publisher Copyright:
© 2012 IEEE.
PY - 2021/7/8
Y1 - 2021/7/8
N2 - We focus on the realistic maximization of the uplink minimum signal-to-interference-plus-noise ratio (SINR) of a general multiple-input single-output (MISO) system assisted by an intelligent reflecting surface (IRS) in the large system limit accounting for HIs hardware impairments (HIs). In particular, we introduce the HIs at both the IRS (IRS-HIs) and the additive transceiver HIs (AT-HIs), usually neglected despite their inevitable impact. Specifically, the deterministic equivalent analysis enables the derivation of the asymptotic weighted maximum-minimum SINR with HIs by jointly optimizing the HIs-aware receiver, the transmit power, and the reflecting beamforming matrix (RBM). Notably, we obtain the optimal power allocation and reflecting beamforming matrix with low overhead instead of their frequent necessary computation in IRS-assisted MIMO systems based on the instantaneous channel information. Monte Carlo simulations verify the analytical results which show the insightful interplay among the key parameters and the degradation of the performance due to HIs.
AB - We focus on the realistic maximization of the uplink minimum signal-to-interference-plus-noise ratio (SINR) of a general multiple-input single-output (MISO) system assisted by an intelligent reflecting surface (IRS) in the large system limit accounting for HIs hardware impairments (HIs). In particular, we introduce the HIs at both the IRS (IRS-HIs) and the additive transceiver HIs (AT-HIs), usually neglected despite their inevitable impact. Specifically, the deterministic equivalent analysis enables the derivation of the asymptotic weighted maximum-minimum SINR with HIs by jointly optimizing the HIs-aware receiver, the transmit power, and the reflecting beamforming matrix (RBM). Notably, we obtain the optimal power allocation and reflecting beamforming matrix with low overhead instead of their frequent necessary computation in IRS-assisted MIMO systems based on the instantaneous channel information. Monte Carlo simulations verify the analytical results which show the insightful interplay among the key parameters and the degradation of the performance due to HIs.
KW - beyond 5G networks
KW - deterministic equivalents
KW - hardware impairments
KW - Intelligent reflecting surface
KW - massive MIMO systems
UR - http://www.scopus.com/inward/record.url?scp=85148955090&partnerID=8YFLogxK
U2 - 10.1109/LWC.2021.3095678
DO - 10.1109/LWC.2021.3095678
M3 - Article
SN - 2162-2345
VL - 12
SP - 192
EP - 196
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 2
M1 - 9477418
ER -