Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems
المؤلفون المشاركون
Zhang, Wenjie
Li, Hui
Jin, Rong
Wei, Shanlin
Cheng, Wei
Kong, Weisi
Liu, Penglu
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-05-02
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
In massive multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, accurate channel state information (CSI) is essential to realize system performance gains such as high spectrum and energy efficiency.
However, high-dimensional CSI acquisition requires prohibitively high pilot overhead, which leads to a significant reduction in spectrum efficiency and energy efficiency.
In this paper, we propose a more efficient time-frequency joint channel estimation scheme for massive MIMO-OFDM systems to resolve those problems.
First, partial channel common support (PCCS) is obtained by using time-domain training.
Second, utilizing the spatiotemporal common sparse property of the MIMO channels and the obtained PCCS information, we propose the priori-information aided distributed structured sparsity adaptive matching pursuit (PA-DS-SAMP) algorithm to achieve accurate channel estimation in frequency domain.
Third, through performance analysis of the proposed algorithm, two signal power reference thresholds are given, which can ensure that the signal can be recovered accurately under power-limited noise and accurately recovered according to probability under Gaussian noise.
Finally, pilot design, computational complexity, spectrum efficiency, and energy efficiency are discussed as well.
Simulation results show that the proposed method achieves higher channel estimation accuracy while requiring lower pilot sequence overhead compared with other methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Wenjie& Li, Hui& Jin, Rong& Wei, Shanlin& Cheng, Wei& Kong, Weisi…[et al.]. 2019. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Wenjie…[et al.]. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Wenjie& Li, Hui& Jin, Rong& Wei, Shanlin& Cheng, Wei& Kong, Weisi…[et al.]. Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1193725
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193725
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