0% Complete
English
صفحه اصلی
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Deep Neural Network-based Method for MmWave Time-varying Channel Estimation
نویسندگان :
Amirhossein Molazadeh
1
Zahra Maroufi
2
Mehrdad Ardebilipour
3
1- دانشگاه خواجه نصیرالدین طوسی
2- دانشگاه خواجه نصیرالدین طوسی
3- دانشگاه خواجه نصیرالدین طوسی
کلمات کلیدی :
mmwave communication،hybrid beamforming،machine learning،channel estimation،deap neural network
چکیده :
A time-varying channel model makes estimating the channel coefficients challenging for the millimeter wave (mmWave) multi user multi-input multi-output (MIMO) communication, attributable to the many coefficients that have to be estimated with a limited number of measurements as well as the severe propagation loss experienced by the mmWave band. Thus, it is proposed to divide the channel estimation in time-varying mmWave systems in two stages, using a frame structure and assuming that angles of arrival/departure (AoAs/AoDs) vary much more slowly than path gains. MmWave channels have a sparse nature that is leveraged in the first stage to formulate the estimate of AoAs/AoDs as a block-sparse signal recovery problem. By the obtained estimate of the AoAs/AoDs, in the second stage the beamforming that maximize the desired pilot power is utilized in order to measure the path gains accurately. In this article, we propose the Deep Neural Network based Angle Estimation (DNNAE) algorithm by defining a deep neural network structure with appropriate input and output. Accordingly, we provide a method based on machine learning to increase the accuracy of channel AoDs/AoAs estimation. Therefore, without the need to update the angle grid area and with low complexity, we obtain a suitable estimation accuracy. Simulation results demonstrate that with the proposed DNNAE scheme, we outperform the previously proposed Adaptive Angle Estimation (AAE) algorithm despite the much lower computational complexity.
لیست مقالات
لیست مقالات بایگانی شده
ارائه یک مدل جهت تخصیص منابع به توابع مجازی شبکه (VNF) باهدف حفظ درجه تعادل بار در شبکه های چند دامنه ای مبتنی بر نرمافزار(multi-SDN)
امین زنداقطاعی - دکتر وحید ستاری نائینی امین زنداقطاعی - وحید ستاری نائینی -
An ESB-based Architecture for Authentication as a Service Through Enterprise Application Integration
Masoumeh Hashemi - Mehdi Sakhaei-nia - Morteza Yousef Sanati
انتخاب ویژگی با استفاده از الگوریتم بهینه سازی ذرات مبتنی بر استراتژی خود تطبیقی دودویی جهت تشخیص بیماری
الهام صالحی - دکتر محمدرضا کرمی ملایی - دکتر حسام عمرانپور الهام صالحی - محمدرضا کرمی ملایی - حسام عمرانپور -
دستهبندی متون خبری فارسی با یادگیری فعال
مینا طباطبائی - دکتر سعیده ممتازی
Classical-Quantum Multiple Access Wiretap Channel with Common Message: One-shot Rate Region
Hadi Aghaee - Dr Bahareh Akhbari
Investigating the impact of management information systems (MIS) on organizational transparency with an emphasis on work ethics
Sadegh Balouch - Omid mehdi Ebadati
Improving Privacy Protection in a Collaborative Blockchain-based E-Health Records System
Arman Emam-Hoseini - Samane Sobuti - دکتر سیاوش خرسندی - Alireza Hashemi-Golpayeghani
Targeted Vaccination for COVID-19 Using Mobile Communication Networks
Mohammadmohsen Jadidi - Pegah Moslemi - Saeed Jamshidiha - Iman Masroori - Abbas Mohammadi - Vahid Pourahmadi
Stock Market Prediction Using Hard and Soft Data Fusion
Saeed Mohammadi Dashtaki - Masoud Alizadeh - Behzad Moshiri
کشف لبه در تصاویر پزشکی با استفاده از اتوماتای سلولی سلسله مراتبی
مریم علینقی زاده - علیرضا رضوانیان
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2