{"id":360,"date":"2023-03-14T15:29:05","date_gmt":"2023-03-14T19:29:05","guid":{"rendered":"https:\/\/www.deepsig.ai\/deepsig-demonstrates-5g-ai-native-massive-mimo-open-ran-performance-improvement-milestone-with-intels-flexran-reference-architecture\/"},"modified":"2024-02-24T18:37:48","modified_gmt":"2024-02-24T22:37:48","slug":"deepsig-demonstrates-5g-ai-native-massive-mimo-open-ran-performance-improvement-milestone-with-intels-flexran-reference-architecture","status":"publish","type":"post","link":"https:\/\/www.deepsig.ai\/deepsig-demonstrates-5g-ai-native-massive-mimo-open-ran-performance-improvement-milestone-with-intels-flexran-reference-architecture\/","title":{"rendered":"DeepSig Demonstrates 5G AI-Native Massive MIMO Open RAN Performance Improvement Milestone with Intel\u2019s FlexRAN Reference Architecture"},"content":{"rendered":"

Demonstration Showed Faster and More Accurate Massive MIMO Performance for 5G Open RAN <\/span><\/em><\/span><\/h2>\n

ARLINGTON, VIRGINIA USA. \u2014<\/span> DeepSig<\/span><\/a>, experts in artificial intelligence (AI) and machine learning (ML) innovation in wireless communications, today announced that it hit a joint milestone in Open Radio Access Networks (Open RAN) 5G Massive MIMO (mMIMO) performance leveraging Intel\u2019s FlexRAN reference architecture.\u00a0<\/span><\/span><\/p>\n

Working with Intel, DeepSig has demonstrated artificial intelligence (AI) dramatically improves the performance and reduces power consumption of 5G mMIMO Open RAN. DeepSig\u2019s AI-Native OmniPHY\u00ae <\/sup>5G software<\/a> integrated into Intel FlexRAN Layer 1 reference software and operates fully within the 5G Open Distributed Unit (O-DU).<\/span><\/p>\n

Significantly, the Massive MIMO demonstration<\/span> with AI \/ ML<\/span> algorithms, when compared to classic RAN receiver algorithms, <\/span>show<\/span>ed<\/span> up to 5X <\/span>channel estimation speed <\/span>improvements and accuracy was improved by up to 4X.<\/span> OmniPHY 5G provides Open RAN operators a<\/span>n<\/span> alternative <\/span>mMIMO <\/span>AI <\/span>solution in their existing DU hardware with lower TCO, higher data rates and greater spectral efficiency.\u00a0 Especially key under high mobility conditions where speed and latency are critical. OmniPHY 5G was demonstrated on <\/span>3rd Gen Intel Xeon Scalable processors and 4th Gen <\/span>Intel Xeon <\/span>Scalable<\/span> processors, leveraging <\/span>Intel Deep Learning Boost<\/a> (Intel DL Boost) <\/span>acceleration.<\/span><\/span><\/p>\n

In January 2023, DeepSig delivered its first operational release of OmniPHY 5G software compiled into Intel FlexRAN L1 reference software to select Open RAN ecosystem partners.<\/span> Open RAN Network Equipment Providers and Technology Providers<\/a> can now test and integrate DeepSig\u2019s AI neural receiver into their 5G Open vRAN solutions.<\/span><\/span><\/p>\n

Additionally, DeepSig aims to release its mMIMO upgrade for OmniPHY 5G to make Open RAN performance more competitive in dense multi-user macro-cell environments, where both spectral efficiency and energy efficiency are critical to operators.<\/span><\/p>\n

\u201cWe are on track for productizing high-value, AI-native solutions for the Open RAN ecosystem,\u201d said <\/span>Jim Shea<\/span><\/a>, DeepSig CEO. \u201cOur experienced software team delivered the wireless industry\u2019s first 5G AI-native over-the-air call in November 2021, achieved substantial throughput gains and power savings in 5G MIMO in 2022, and delivered the first 5G neural-receiver operational release to partners in January 2023. We\u2019ve had very productive, close collaboration with Intel\u2019s FlexRAN software team for over 3 years. We are excited for partners and operators to deploy DeepSig\u2019s AI-native software with FlexRAN in their 5G vRAN products this year.\u201d<\/span><\/span><\/p>\n

\u201cIntel\u2019s ecosystem collaborations continue to demonstrate AI innovation will deliver considerable value to wireless operators as they deploy virtualized RAN architectures,\u201d said <\/span>Cristina Rodriguez<\/span><\/a>, Vice President and General Manager, Wireless Access Networking Division at Intel. \u201cDeepSig has been an early AI partner leveraging the Intel FlexRAN reference architecture as the foundation for Layer 1 and above and enables many use cases in 5G commercial networks, private networks and the AI-native path beyond 5G and to 6G.\u201d<\/span><\/span><\/p>\n

About DeepSig, Inc.<\/span><\/strong><\/span><\/p>\n

DeepSig is a pioneer in AI-native wireless communications. Its transformative technology pushes the boundaries of wireless performance, spectrum visibility and network capabilities. Drawing on a unique blend of artificial intelligence, deep learning and wireless systems expertise, DeepSig\u2019s AI\/ML powered software unlocks unprecedented gains in capacity, efficiency and security for specialized communications and 5G Open RAN, and lays the foundation for AI-native 6G<\/span>. For more information, visit <\/span>https:\/\/www.deepsig.ai<\/a>.\u00a0<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Demonstration Showed Faster and More Accurate Massive MIMO Performance for 5G Open RAN ARLINGTON, VIRGINIA USA. \u2014 DeepSig, experts in artificial intelligence (AI) and machine learning (ML) innovation in wireless…<\/p>\n","protected":false},"author":1,"featured_media":1083,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[21],"tags":[25,6,26,9,11],"yoast_head":"\nDeepSig Demonstrates 5G AI-Native Massive MIMO Open RAN Performance Improvement Milestone with Intel\u2019s FlexRAN Reference Architecture - DeepSig DeepSig Demonstrates 5G AI-Native Massive MIMO Open RAN Performance with Intel\u2019s FlexRAN Reference Architecture<\/title>\n<meta name=\"description\" content=\"DeepSig has demonstrated artificial intelligence (AI) dramatically improves the performance and reduces power consumption of 5G mMIMO Open RAN. 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