DeepSig to Advance AI-Powered mMIMO Technology with Fujitsu, and Qualcomm

Collaborates with Fujitsu and Qualcomm to develop advanced AI-enhanced Massive MIMO solutions for 5G and 6G networks.

Highlights

  • Integration of OmniPHY-5G software with Fujitsu’s RUs and Qualcomm’s QRU10xx chipset.
  • Partnership addresses performance, energy, and cost challenges in mMIMO systems.
  • Laying the groundwork for AI-driven 6G wireless communication technologies.

Follow Us

DeepSig to Advance AI-Powered mMIMO Technology with Fujitsu, and Qualcomm
AI-native wireless communications specialist DeepSig has been awarded a grant by the National Telecommunications and Information Administration (NTIA) to accelerate innovation in massive Multiple Input Multiple Output (mMIMO) technology for Radio Units (RUs). Collaborating with Fujitsu and Qualcomm, this initiative will drive the development of AI-enhanced beamforming and antenna technologies to address critical performance and scalability challenges within Open and Interoperable (OpenRAN) wireless networks, the company said in a statement on January 21, 2025.

Also Read: SoftBank Signs MoU for AI-RAN and 6G Network Research




Challenges in Current mMIMO Deployments

By leveraging large antenna arrays, mMIMO technology significantly improves spectral efficiency, network capacity and coverage. However, existing deployments often fall short of their theoretical potential due to latency, energy consumption, implementation and cost constraints, DeepSig explained.

Leveraging AI and Industry Expertise

This partnership seeks to overcome these challenges, which often limit the potential of mMIMO systems. DeepSig will leverage its OmniPHY-5G machine learning-based software alongside Fujitsu's OpenRAN mMIMO RUs and Qualcomm's QRU10xx chipset. By addressing these barriers, the collaboration will drive the adoption of 5G and 5G Advanced networks while laying the groundwork for AI-powered 6G technologies.

"Building on our OmniPHY-5G machine learning-based software, this program integrates Fujitsu's radio unit solutions and Qualcomm's system-on-chip to optimise the performance of Massive MIMO radio units. Together, these innovations will accelerate the adoption of OpenRAN 5G networks and establish the foundation for AI-driven 6G technologies, shaping the future of wireless communication," said DeepSig CEO.

Also Read: SoftBank and Fujitsu Partner to Drive AI-RAN Commercialisation by 2026

Details of the Partnership

Fujitsu: Provides mature, interoperable high-performance OpenRAN 5G mMIMO RUs, built on Qualcomm's QRU chipset, already deployed by major operators (MNOs).
Qualcomm: Supplies the QRU10xx chipset, enabling efficient real-time beamforming optimisation and other critical mMIMO functions within the O-RU solutions.

"This collaboration aims to bridge the theoretical potential and real-world performance of mMIMO systems. It will accelerate the adoption of mMIMO O-RUs in 5G, 5G Advanced and 6G networks, reduce costs and support global standards development with the O-RAN Alliance and 3GPP," the DeepSig said.

Reported By

Telecom Analyst

Passionately following the Indian #Telecom Industry for over a decade from Business, Consumer and a Technical perspective. My primary focus area is Consumer & Digital Experience.

Recent Comments

Sujata :

I doubt that'll happen before 2029-30.

Reliance Jio's All Data Plans will Work with Voice Plans…

Sujata :

Exactly, BSNL can't compete, they are the test bid of so called make in india telecom equipements, which I doubt…

Reliance Jio's All Data Plans will Work with Voice Plans…

Sujata :

ARPUtel to arpuJAV, smooth transition lmao XD.

Airtel Prepaid Plans with 84 Days Validity: February 2025 Edition

Sujata :

Not sure about December, but from Jan onwards they're gonna loose heavily, and from Feb it'll be at peak bcs…

BSNL Provides Free SIM Cards to Pilgrims, Strengthens Infrastructure at…

Sujata :

This is what happens when wrong people sit a right place.

TRAI Gives Recommendations for 37 GHz, 42 GHz IMT Spectrum…

Load More
Subscribe
Notify of
guest

0 Comments
Inline Feedbacks
View all comments