Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling
المؤلفون المشاركون
Gomes, Paulo R. B.
de Almeida, André L. F.
da Costa, João Paulo C. L.
de Sousa, Rafael T.
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-15
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
In this paper, we address the problem of joint downlink (DL) and uplink (UL) channel estimation for millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems.
Assuming a closed-loop and multifrequency-based channel training framework in which pilot signals received by multiple antenna mobile stations (MSs) are coded and spread in the frequency domain via multiple adjacent subcarriers, we propose two tensor-based semiblind receivers by capitalizing on the multilinear structure and sparse feature of the received signal at the BS equipped with a hybrid analog-digital beamforming (HB) architecture.
As a first processing stage, the joint estimation of the compressed DL and UL channel matrices can be obtained in an iterative way by means of an alternating least squares (ALS) algorithm that capitalizes on a parallel factors model for the received signals.
Alternatively, for more restricted scenarios, a closed-form solution is also proposed.
From the estimated effective channel matrices, the users’ channel parameters such as angles of departure (AoD), angles of arrival (AoA), and path gains are then estimated in a second processing stage by solving independent compressed sensing (CS) problems (one for each MS).
In contrast to the classical approach in the literature, in which the DL and UL channel estimation problems are usually considered as two separate problems, our idea is to jointly estimate both the DL and UL channels as a single problem by concentrating most of the processing burden for channel estimation at the BS side.
Simulation results demonstrate that the proposed receivers achieve a performance close to the classical approach that is applied on DL and UL communication links separately, with the advantage of avoiding complex computations for channel estimation at the MS side as well as dedicated feedback channels for each MS, which are attractive features for massive MIMO systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gomes, Paulo R. B.& de Almeida, André L. F.& da Costa, João Paulo C. L.& de Sousa, Rafael T.. 2019. Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1212142
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gomes, Paulo R. B.…[et al.]. Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1212142
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gomes, Paulo R. B.& de Almeida, André L. F.& da Costa, João Paulo C. L.& de Sousa, Rafael T.. Joint DL and UL Channel Estimation for Millimeter Wave MIMO Systems Using Tensor Modeling. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1212142
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1212142
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر