{"id":646,"date":"2020-04-21T13:50:42","date_gmt":"2020-04-21T13:50:42","guid":{"rendered":"https:\/\/5gclarity.com\/?page_id=646"},"modified":"2022-07-05T10:15:53","modified_gmt":"2022-07-05T10:15:53","slug":"workshops","status":"publish","type":"page","link":"https:\/\/5gclarity.com\/index.php\/workshops\/","title":{"rendered":"Open Source Software"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” bg_image=”335″ bg_position=”center center” bg_repeat=”no-repeat” scene_position=”center” text_color=”light” text_align=”left” top_padding=”10%” bottom_padding=”10%” color_overlay=”#000000″ overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_row_inner column_margin=”default” text_align=”left”][vc_column_inner column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” width=”1\/1″ tablet_width_inherit=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]\n
This repository contains the patch for kernel 5.5 for both PC (x86_64) and Raspberry Pi 4 (ARMv8) architectures. 5G-CLARITY scheduler is not included.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”4%” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]\n
This innovation offers a lightweight open-source library that can generate channel impulse responses (CIRs) for LiFi channels within a specific 3D environment. Similar libraries and\/or software solutions both in the literature and commercial applications are either closed source or difficult to scale. Thus, we came up with open-source Python libraries based scalable and computationally efficient solution. In addition, the proposed innovation could generate datasets containing many realizations of CIRs of a LiFi channel by considering user that are either walking or stationary. The mobile terminal orientation is also taken into consideration. Furthermore, this innovation could generate path-loss channel models for Wi-Fi and 5G channels for a given 3D geometrical environment.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”4%” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]\n
This repository contains the source code of the Data Semantics Fabric (DSF)<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”4%” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]\n
This repository is created by 5G-CLARITY partners (UGR, I2CAT, USTRATH) to test\/validate the proposed multi-connectivity framework in WP3 in a virtual environment.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”4%” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][vc_column_text]\n
OVSDB API used to manage slice connectivity provisioning in WP4.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"
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