Multi-Agent Orchestration of 3GPP Channel Estimators
Pilot-aided channel estimation is a decisive block in orthogonal frequency-division multiplexing (OFDM) receivers for both 5G New Radio (5G-NR) and Long-Term Evolution (LTE). A large body of estimators exists, from simple least-squares (LS) interpolation to statistically optimal linear minimum-mean-square-error (LMMSE) variants and, more recently, deep convolutional denoisers, yet no single estimator is uniformly best: the winner depends on the propagation scenario, the numerology, the operating signal-to-noise ratio (SNR), the mobility (Doppler), and the antenna configuration. In this paper, we quantify this fact through a unified study of eight literature estimators evaluated over the 3...
| Authors | I. Zakir Ahmed, Hamid Sadjadpour |
|---|---|
| Primary category | cs.IT |
| Published | 24 September 2026 |
| Last updated at source | 24 September 2026 |
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