Reference : Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardw...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/47643
Asymptotic Analysis of Max-Min Weighted SINR for IRS-Assisted MISO Systems with Hardware Impairments
English
Papazafeiropoulo, Anastasios []
Pan, Cunhua []
Elbir, Ahmet []
Nguyen, van Dinh mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Kourtessis, Pandelis []
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
In press
IEEE Wireless Communications Letters
IEEE Communications Society
Yes
International
2162-2337
2162-2345
Piscataway
NJ
[en] Intelligent reflecting surface ; hardware impairments ; massive MIMO systems
[en] We focus on the realistic maximization of the up-link 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. In particular, we introduce the HIs at both the IRS (IRS-HIs) and the 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 reflect beamforming matrix (RBM). Notably, we obtain the optimal power allocation and reflect beamforming matrix with low overhead instead of their frequent necessary computation in conventional 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.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/47643
10.1109/LWC.2021.3095678
https://ieeexplore.ieee.org/document/9477418
FnR ; FNR14773976 > Bjorn Ottersten > RISOTTI > Reconfigurable Intelligent Surfaces For Smart Cities > 01/06/2021 > > 2020

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