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arxiveess.SP2026-07-03

Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals

Yongjun Kim, Ali Rasteh, Sundeep Rangan, Junil Choi

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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arxiveess.SP2026-07-12

SCOPE: Sidelobe-Controlled Off-grid Profile Estimation for Multiband Multistatic Target Localization in Upper Mid-Band ISAC Systems

Wenyu Huang, Nuria González-Prelcic

Multiband multistatic integrated sensing and communication (ISAC) in fragmented FR3 bands (7-24 GHz) enables high resolution localization via virtual wideband and spatial diversity. However, frequency anisotropy decorrelates target scattering across non-contiguous bands, while la…

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arxiveess.SPeess.SY2026-07-23

Noncoherent Detection and Interference Nulling for Terrestrial-Satellite Downlinz Coexistence in the Upper Mid-Band

Shizhen Jia, C. Nicolas Barati, Marco Mezzavilla, Sundeep Rangan

Terrestrial--satellite coexistence in the upper mid-band is challenging when a terrestrial base station has limited prior information about non-terrestrial receivers and their uplink transmissions. This paper studies noncoherent victim sensing and interference nulling, where upli…

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arxiveess.SP2026-07-20

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC

Haotian Liu, Zhiqing Wei, Quanjiang Zhao, Lin Wang, Yunxin Geng, Xingwang Li, et al.

Multi-band integrated sensing and communication (ISAC) offers complementary high- and low-frequency echo information for multi-target sensing. However, existing dual-band ISAC sensing methods have a limited ability to exploit deep complementary information across heterogeneous ba…

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arxiveess.SP2026-07-15

Posterior-Confidence Driven Beamforming for Energy-Efficient Integrated Sensing and Communication

Nusaibah A. Alshorman, Huseyin Arslan

Energy efficiency will pose an essential limitation for sixth-generation (6G) integrated sensing and communication (ISAC) systems, given the high sensing power consumption associated with persistent sensing, despite stable communication requirements. This paper proposes an energy…

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arxiveess.SP2026-06-30

Toward Efficient Sensing in Multi-Device ISCC by Removing Frequency Domain Redundancy

Ziqi Ye, Yinghui He, Weiwei Chen, Guanding Yu, Rui Zhang

Integrated sensing, communication, and computation (ISCC) is envisioned as a key enabler for intelligent services in future wireless networks. However, in multi-device ISCC systems, directly offloading full orthogonal frequency division multiplexing (OFDM) sensing data to the edg…

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arxiveess.SP2026-07-11

Rotating ULA-Enabled Computed Tomography for Efficient 3D Spatial Power Spectrum Synthesis: Architecture and Principled Orientation Design

Haocheng Hua, Weidong Mei, Jie Xu, Rui Zhang

This paper proposes an efficient three-dimensional (3D) spatial power spectrum synthesis method by rotating a uniform linear array (ULA) about its center in 3D space. Inspired by classical computed tomography (CT), the ULA performs analog receive combining at each rotation angle…

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