1-Bit Precoding for Massive MIMO Downlink with Linear Programming and a Greedy Algorithm Extension

التفاصيل البيبلوغرافية
العنوان: 1-Bit Precoding for Massive MIMO Downlink with Linear Programming and a Greedy Algorithm Extension
المؤلفون: Wen Xu, Josef A. Nossek, Ferhad Askerbeyli
المصدر: VTC Spring
بيانات النشر: IEEE, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Linear programming, Computer science, Quantization (signal processing), MIMO, 0207 environmental engineering, 020206 networking & telecommunications, 02 engineering and technology, Precoding, Nonlinear system, Nonlinear distortion, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, 020701 environmental engineering, Greedy algorithm, Algorithm, Computer Science::Information Theory
الوصف: Employing 1-bit quantization in massive multiple-input-multiple-output (MIMO) systems is a promising approach to improve the power efficiency. Various linear and nonlinear precoding techniques including the maximum safety margin (MSM) precoder have been presented to cope with severe 1-bit quantization distortions. In this paper, we show the reason for MSM precoder’s success in reducing the quantization distortions and propose a low complexity extension with a greedy algorithm by exploiting this analytic result. Numerical results illustrate that the extended MSM is almost optimal in terms of maximizing the constructive interference (CI) between the received signals.
DOI: 10.1109/vtc2021-spring51267.2021.9448924
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7a4df546d9f401a69c36a04f505a9e57
https://doi.org/10.1109/vtc2021-spring51267.2021.9448924
Rights: CLOSED
رقم الانضمام: edsair.doi...........7a4df546d9f401a69c36a04f505a9e57
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1109/vtc2021-spring51267.2021.9448924