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arXiv · 2607.02982

Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals

Yongjun Kim·Ali Rasteh·Sundeep Rangan·Junil Choi
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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.

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Yongjun Kim, Ali Rasteh, Sundeep Rangan, Junil Choi. 2026-07-03. Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals. https://arxiv.org/abs/2607.02982

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