Abstract:
At mm-wave and sub-THz bands, 5G New Radio (NR) and beyond mobile cellular systems should integrate efficient connectivity, positioning, and sensing functions. This article discusses radio-based sensing and environment mapping for user equipment (UE).
We first present an efficient l1-regularized least-squares (LS) method for sparse range–angle charts at individual measurement or sensing locations. We then introduce a new state model for mapping diffuse and specular scattering, which allows efficient tracking of individual scatterers over time using interacting multiple model (IMM) extended Kalman filter and smoother for environment mapping.
Addressing measurement selection and data association issues. We present extensive numerical indoor mapping results at 28 GHz using OFDM-based 5G NR uplink waveform with 400 MHz channel bandwidth and accurate ray-tracing and RF measurement results.
The results show that radio-based mobile environment sensing and mapping in future mm-wave networks has great potential. Dynamic tracking-based solutions outperform static reference methods.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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