{"id":3634,"date":"2011-04-18T21:36:05","date_gmt":"2011-04-18T21:36:05","guid":{"rendered":"http:\/\/hgpu.org\/?p=3634"},"modified":"2011-04-18T21:36:05","modified_gmt":"2011-04-18T21:36:05","slug":"gpu-detectors-for-interference-cancellation-in-chaos-based-cdma-communications","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3634","title":{"rendered":"GPU detectors for interference cancellation in chaos-based CDMA communications"},"content":{"rendered":"<p>Multi-user detection is an effective technique to reduce the mutual interference between users in code division multiple access (CDMA) communications at the cost of a larger number of arithmetic operations. It is shown that multi-user detection can be efficiently computed on graphics processors using a GPGPU approach. Specifically, two GPU parallel interference cancellation detectors for chaos-based CDMA communications are presented. The method is general and scalable and exploits the thousands of threads that the GPU can execute in parallel.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Multi-user detection is an effective technique to reduce the mutual interference between users in code division multiple access (CDMA) communications at the cost of a larger number of arithmetic operations. It is shown that multi-user detection can be efficiently computed on graphics processors using a GPGPU approach. Specifically, two GPU parallel interference cancellation detectors for [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[514,522],"class_list":["post-3634","post","type-post","status-publish","format-standard","hentry","category-paper","tag-computational-engineering","tag-wireless-baseband-architecture"],"views":1815,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3634","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3634"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3634\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3634"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3634"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}