{"id":38154,"date":"2021-07-04T22:46:03","date_gmt":"2021-07-04T19:46:03","guid":{"rendered":"https:\/\/researcherstore.com\/product\/matlab-simulation-codes-of-cnn-for-ofdm-spm\/"},"modified":"2023-09-25T12:17:14","modified_gmt":"2023-09-25T09:17:14","slug":"matlab-simulation-codes-of-cnn-for-ofdm-spm","status":"publish","type":"product","link":"https:\/\/researcherstore.com\/product\/matlab-simulation-codes-of-cnn-for-ofdm-spm\/","title":{"rendered":"Matlab Simulation Codes of CNN for OFDM-SPM"},"content":{"rendered":"<p style=\"text-align: center;\"><strong>Matlab Simulation Codes of CNN for OFDM-SPM<\/strong><\/p>\n<p><strong>As the demand for higher data rates has rapidly been increasing day after day, researchers <\/strong><strong>around the world have given serious attention and made significant efforts towards exploring new techniques <\/strong><strong>that can improve the spectral efficiency of future wireless systems. Among these methods, the modulation <\/strong><strong>technique termed OFDM-SPM is considered as a key potential candidate transmission method that <\/strong><strong>can effectively improve the per-user spectral efficiency of wireless networks. However, the reliability <\/strong><strong>performance efficiency of OFDM-SPM is not that high despite using two dimensions to send data, it <\/strong><strong>was found that the additional data stream conveyed by sub-carriers power has a higher bit error rate (BER) performance compared to the data stream conveyed by conventional modulation schemes. To improve the reliability performance of OFDM-SPM Furthermore, in this paper, we propose the use of CNN based equalizer for OFDM-SPM.<\/strong><br \/>\n<strong>As deep learning techniques, such as Convolutional Neural Networks (CNN) are applied to OFDM-SPM, <\/strong><strong>Simulation results have shown that Convolutional Neural Networks (CNN) based equalizers can improve the reliability performance of OFDM-SPM by 5-10 dB compared to the conventional scheme that does not use CNN.<\/strong><\/p>\n<p><a href=\"https:\/\/doi.org\/10.46470\/03d8ffbd.48b1d1c8\" target=\"_blank\" rel=\"noopener\"><strong>https:\/\/doi.org\/10.46470\/03d8ffbd.48b1d1c8<\/strong><\/a><\/p>\n<p><iframe loading=\"lazy\" title=\"Convolutional Neural Network Based Equalizer for Improving the Reliability Performance of OFDM SPM\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/HD44XqbPSv0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p><strong>This is the full Matlab Simulation Codes package, which is used to generate the results presented in the paper titled \u201c<a href=\"https:\/\/doi.org\/10.46470\/03d8ffbd.48b1d1c8\">Convolutional Neural Network for Improving the Reliability Performance of OFDM with Sub-carrier Power Modulation (OFDM-SPM)<\/a>\u201d<\/strong><\/p>\n","protected":false},"featured_media":38152,"template":"","meta":{"qubely_global_settings":"","qubely_interactions":"","pmpro_default_level":""},"product_cat":[50,46],"product_tag":[100,101,111,151,93,318],"_links":{"self":[{"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/product\/38154"}],"collection":[{"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/media\/38152"}],"wp:attachment":[{"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/media?parent=38154"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/product_cat?post=38154"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/researcherstore.com\/wp-json\/wp\/v2\/product_tag?post=38154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}