Capturing, recording, and analyzing LTE signals using USRPs and LabVIEW

Abstract

Long Term Evolution (LTE) systems are currently playing a major role in catering the ever increasing traffic demand. Better performance and better throughput compared to other mobile communication technologies are main objectives of LTE deployments. To provide a better quality of experience, LTE signals from real base stations should be captured and analyzed, for possibly making adjustments to network operation parameters, or for deploying new base stations. In this paper, real LTE signals from the base stations are recorded using universal software radio peripheral (USRP) devices and NI Lab VIEW software. Then, these recorded LTE signals are processed and an alyzed in MATLAB to identify information such as primary cell identifier (PCI) and master information block (MIB). LabVIEW and MATLAB graphical user interfaces (GUIs) are provided to make the system more user friendly.

ALPACA: An Asymmetric Loss Prediction Algorithm for Channel Adaptation Based on a Convolutional-Recurrent Neural Network in URLLC Systems

“…To record signals from deployed base stations and further process them is proposed in [34]. Unfortunately, this approach also does not allow an accurate estimation of the mobile channel conditions during the rapid changes because the minimum interval between measurements is too long [12].…”

“…However, few datasets containing channel measurements exist. Most of them cannot be used for evaluating MCS selection algorithms for URLLC because they do not provide enough high-granularity measurements and/or consider only static or low-mobility scenarios [10]- [12].…”