Measure the channel
Use available radio observations such as RSRP, RSRQ, SINR and CSI/CQI, subject to testbed access and interface availability.
An end-to-end approach: estimate radio conditions, inform adaptation, then evaluate the effect on the link and the experience it delivers.
KashefTel’s proposed pipeline follows the effect of radio intelligence all the way to communication performance.
Use available radio observations such as RSRP, RSRQ, SINR and CSI/CQI, subject to testbed access and interface availability.
Explore AI-based estimation where direct observations are imperfect. Compare with a defined baseline under the same conditions.
Evaluate how the estimate influences rank adaptation and beamforming. Track the resulting MCS, BLER and HARQ behavior.
Evaluation must include the cost of inference, stale information, changing channels and integration constraints. These tradeoffs define whether an approach is useful in a real system.
Estimation quality → adaptation decisions → BLER / HARQ → useful throughput / latency. Each connection needs evidence.
Application scenarios for evaluation. Simulation results do not establish performance in these environments.
Evaluate wireless delivery for mobile robots and industrial devices as machinery and obstructions change the radio environment.
Reliability · RetransmissionsExplore a pilot ↗Explore changing channels, beam decisions and modeled latency along a vehicle’s route.
Latency · Link continuityExplore a pilot ↗