این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Information and Communication Technology Research (IJICT، جلد ۱۳، شماره ۱، صفحات ۲۵-۳۱

عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله

عنوان انگلیسی Massive MIMO Slow-varying Channel Estimation Using Tensor Sparsity
چکیده انگلیسی مقاله In order to exploit the advantages of the massive MIMO systems, it is vital to apply the channel estimation task. The huge number of antennas at the base station of a massive MIMO system produces a large set of channel paths which requires to be estimated. Therefore, the channel estimation in such systems is more troublesome. In this paper, we propose to leverage the temporal joint sparsity of the massive MIMO channels to offer a more accurate channel estimation. To attain this goal, we would model the problem to exploit the spatial correlation among different antennas of the BS as well as the inter-user similarity of the channel supports.  In addition, by assuming a slow time-varying channel, the supports of the channel matrices of various snapshots would be equal which enables us to impose the temporal joint sparsity on the channel submatrices. The simulation results validate the efficiency and superiority of the suggested scheme over its rivals.
کلیدواژه‌های انگلیسی مقاله Massive MIMO, Channel estimation, Sparisity, Joint sparsity

نویسندگان مقاله | Nasser Sadeghi
Laboratory of Wireless Communications and Signal Processing (WCSP), Faculty of Electrical Engineering, Sahand University of Technology Tabriz, Iran


| Masoumeh Azghani
Laboratory of Wireless Communications and Signal Processing (WCSP), Faculty of Electrical Engineering, Sahand University of Technology Tabriz, Iran



نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-4363-1&slc_lang=other&sid=1
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده other
موضوعات مقاله منتشر شده فناوری ارتباطات
نوع مقاله منتشر شده پژوهشی
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات