Ultra-Reliable Wireless Machine-to-Machine Communications

Wireless communication links between machines demand fundamentally new properties of a communication system such as the ability to operate in challenging environments, low-latency, defined error probability and an interface to control algorithms.

With these properties application in new markets are addressed, e.g. autonomous vehicles will be enabled to exchange redundant sensor information (radar, optical, etc.) or industrial production systems gain more flexibility by replacing cable connections with wireless links. On a European level these kind of 5G communication systems are a research focus in the Horizon 2020 framework of the European commission.

AIT offers research services and innovations in the following competence fields:

  • Wireless channel measurements, characterization and real-time emulation
  • Ultra-reliable low-latency (deterministic) wireless communications
  • Indoor wireless positioning systems
  • Software defined radio experimentation, real-time implementations

Geometry-based real-time performance evaluation of wireless communication systems

Radio communication between vehicles in intelligent traffic systems and highly networked automated vehicles allows the avoidance of accidents by exchanging position, speed, direction of travel and other sensor data. The verification of the radio systems and vehicle control units is cost-intensive, time-consuming and difficult to repeat. For this reason the AIT is developing a real-time emulation of the vehicle radio channel, based on a geometry stochastic model that correctly illustrates the non-stationary fading process of the vehicle radio channel.

The V2X communication channel is subject to a non-stationary time- and frequency selective fading process, i.e. the received field strength varies over time leading to varying frame error rates. The fading process is determined by the environment of the communication link and the position of the transmitter and receiver. For the repeatable test of connected autonomous driving algorithms, we will model the environment with low-complexity geometry based stochastic model. This allows for capturing the non-stationary fading conditions at road intersections as well as effects by larger object such as trucks or trains that cause strong shadowing (i.e. attenuation) of the transmitted radio waves.

Low-latency wireless communications systems for flexible production system

The exchange of cable connections with ultra-reliable wireless communication links, will improve the reconfigurability of future production lines and enables new production processes. AIT investigates and prototypes low-latency wireless communication systems to link sensors, actuators and processing units. To achieve high transmission reliability we exploit all diversity sources in industrial scenarios enabling low-latency wireless data transmission  for dynamically reconfigurable production systems.

Indoor wireless positioning

We investigate and design accurate radio signal predictions tools using ray-tracing and propagation graphs. These prediction methods allow for advanced indoors localization solutions in a GPS denied environments (tunnels, office buildings, shopping malls). AITs has know-how for beacon based hardware infrastructure (Bluetooth low energy) and for ultra-wideband and multi-antenna systems for high accuracy applications. We offer an advanced wave propagation computation engine based on geometrical building data that can be customized for various applications.

Real-time software defined radio algorithms

Future 5G wireless communication systems target a peak data rate of 10GBit/s with a latency of 1ms, enabling wireless communication links for cyber physical systems (CPS) such as connected autonomous vehicles or flexible production environments. 5G massive multiple-input and multiple-output (MIMO) systems with new non-orthogonal waveforms demand new signal processing algorithms to reduce both, computational complexity and energy requirements. We investigate and prototype novel approaches based on big data algorithms for high speed processing on field programmable gate arrays (FPGA).