{"ID":5935905,"CreatedAt":"2026-07-07T01:22:02.77346169Z","UpdatedAt":"2026-07-07T02:10:06.972658124Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.02982","arxiv_id":"2607.02982","title":"Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals","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.","short_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 li...","url_abs":"https://arxiv.org/abs/2607.02982","url_pdf":"https://arxiv.org/pdf/2607.02982v1","authors":"[\"Yongjun Kim\",\"Ali Rasteh\",\"Sundeep Rangan\",\"Junil Choi\"]","published":"2026-07-03T05:42:52Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}