Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals
Signal Processing
2026-07-03 v1
Abstract
Spectrum sensing is a fundamental problem in the upper mid-band, where spectrum resources are shared with incumbent systems. This paper considers frequency-domain occupancy estimation when the number of primary user signals, their bandwidths, and their signal-to-noise ratios are all unknown. We develop a generalized likelihood ratio test and a computationally efficient search procedure that combines binary search with dynamic programming to select the set of intervals maximizing the sum of log-likelihoods. The proposed method is validated through both simulation data and over-the-air experimental data using an upper mid-band software-defined radio (SDR), demonstrating its practical applicability.
Cite
@article{arxiv.2607.02982,
title = {Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals},
author = {Yongjun Kim and Ali Rasteh and Sundeep Rangan and Junil Choi},
journal= {arXiv preprint arXiv:2607.02982},
year = {2026}
}