Axon Logic

beyond norms

Innovation Science and Engineering Research

Since 2003, we have pored into the design logic of various Radio topologies, architectures, and communications protocols, ranging from 3G-to-LTE-to-5G-to-6G technologies.

 

The characteristic of our efforts is that we use the standard knowledge that typically frames the research in L1 and L2 layers (like, channel and signal propagation modeling, beamforming control and spectrum sharing concepts, etc.) to improve two particular areas that are directly connected with environmental and public health concerns, i.e.,

 

  • the design of Energy-Efficient Green wireless systems, and

  • Human-friendy Low-EMF exposure Radios.

 

We approach these areas holistically, by combining techniques of pre-emptive radio resource management and mmWave massive-MIMO antenna control, cognitive spectrum usage and management in licensed and unlicensed bands (using, either AI, or rule-based allocation problems), as well as, by exploring new waveforms at the GHz and THz band, including concepts that can, either relax orthogonality conditions in favor of Spectrum-and-Energy Efficiency (CP-OFDM, FBMC, GFDM), or Non Orthogonal Multiple Access (NOMA) and Rate Splitting Multiple Access (RSMA) schemes that are shown to effectively balance Spectrum-and-Energy efficiency with adaptive signal redirection.

 

We deliver our L1 and L2 solutions as lightweight algorithms that can be programmed to, either embed within FPGAs of RRUs/BBUs, or as functions for virtualized RAN engines for improving the capabilities of Radios towards real-time resource management.

 

In respect, our research impacts the context of open and virtualized RAN at L3, where disaggregation and diversification of existing RAN infrastructures emerge towards the full deployment of 5G, and to grow the momentum for the shift to 6G network systems. 

 

In fact, we are very much familiar with the hybrid C-RAN and MEC architecture, as well as, with its consequent vRAN, DRAN, and O-RAN paradigms, towards disaggregating and diversifying the RAN infrastructure, and addressing merits and challenges for the evolution of CPRI, NGFI interfaces, according to blueprints provided by Standards Organizations, like the Small Cell Forum (SC159), Telecom Infra Project (TIP) Open RAN, 3GPP/5GPPP technical reports on radio access architecture (38.801 and Rel. 16), etc.

 

We have tested our solutions in lab environment considering three forthcoming 6G use cases:

 

  • eHealth (towards enabling tactile feedback for real-time remote surgery - simulated),

  • pervasive connectivity (30x less Energy consumed compared to 5GPPP thresholds in a congested 5G environment of 10exp6 devices per km2 - emulated), and

  • Robotics (msec delay jitter via Edge-based diagnostics and Edge-based Energy-and-Latency Efficiency optimization - emulated).

 

Customers can inquire more details here.

Quantum

Quantum

Intelligence

Intelligence

Optimization

Optimization

Networking

Data Computing

Radios

Radios
Cybersecurity

Cybersecurity

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