Rate analysis of device-to-device communication system based on reflecting intelligent surface
In this paper, firstly the device-to-device(D2D)communication system model based on the reflective intelligent surface(RIS)was established in a general form, from which the user's achievable rate was derived and the total rate of the system was obtained. Then the rate of the system was analysed...
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Academic Journals Center of Shanghai Normal University
2021-01-01
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doaj-7a01607907304d0c8d724fb7465d9af92021-08-18T02:48:21ZengAcademic Journals Center of Shanghai Normal UniversityJournal of Shanghai Normal University (Natural Sciences)1000-51371000-51372021-01-01501576110.3969/J.ISSN.1000-5137.2021.01.00820210108Rate analysis of device-to-device communication system based on reflecting intelligent surfaceFU Fengting0LI Li1College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, ChinaCollege of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, ChinaIn this paper, firstly the device-to-device(D2D)communication system model based on the reflective intelligent surface(RIS)was established in a general form, from which the user's achievable rate was derived and the total rate of the system was obtained. Then the rate of the system was analysed when the transmitting power was high enough. The simulating experiments showed that with the increase of user transmit power, the error of the system total rate between the approximate value and the theoretical value did not exceed 3% under Rayleigh channel condition.http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20210108reflecting intelligent surfaces(ris)device-to-device(d2d)communicationrate analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
FU Fengting LI Li |
spellingShingle |
FU Fengting LI Li Rate analysis of device-to-device communication system based on reflecting intelligent surface Journal of Shanghai Normal University (Natural Sciences) reflecting intelligent surfaces(ris) device-to-device(d2d)communication rate analysis |
author_facet |
FU Fengting LI Li |
author_sort |
FU Fengting |
title |
Rate analysis of device-to-device communication system based on reflecting intelligent surface |
title_short |
Rate analysis of device-to-device communication system based on reflecting intelligent surface |
title_full |
Rate analysis of device-to-device communication system based on reflecting intelligent surface |
title_fullStr |
Rate analysis of device-to-device communication system based on reflecting intelligent surface |
title_full_unstemmed |
Rate analysis of device-to-device communication system based on reflecting intelligent surface |
title_sort |
rate analysis of device-to-device communication system based on reflecting intelligent surface |
publisher |
Academic Journals Center of Shanghai Normal University |
series |
Journal of Shanghai Normal University (Natural Sciences) |
issn |
1000-5137 1000-5137 |
publishDate |
2021-01-01 |
description |
In this paper, firstly the device-to-device(D2D)communication system model based on the reflective intelligent surface(RIS)was established in a general form, from which the user's achievable rate was derived and the total rate of the system was obtained. Then the rate of the system was analysed when the transmitting power was high enough. The simulating experiments showed that with the increase of user transmit power, the error of the system total rate between the approximate value and the theoretical value did not exceed 3% under Rayleigh channel condition. |
topic |
reflecting intelligent surfaces(ris) device-to-device(d2d)communication rate analysis |
url |
http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20210108 |
work_keys_str_mv |
AT fufengting rateanalysisofdevicetodevicecommunicationsystembasedonreflectingintelligentsurface AT lili rateanalysisofdevicetodevicecommunicationsystembasedonreflectingintelligentsurface |
_version_ |
1721203781347049472 |