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arxiveess.SP2026-07-18

Outage Analysis of Backscatter-Based Ambient IoT Device Classes with Energy Buffering

Azzam Al-nahari, Riku Jäntti, Yi Zhou, Deepak Mishra, Masoud Kaveh, Abhishek Mondal

This paper presents an analytical framework for evaluating the outage probability of ambient Internet of Things (A-IoT) device classes communicating directly with a base station. Device 1 is a passive backscatter device with minimal storage, while Device 2 is equipped with a supercapacitor that enables energy buffering and optional amplification. The proposed framework jointly accounts for carrier-detection sensitivity, energy harvesting constraints, supercapacitor energy dynamics, and an energy-aware amplification policy, while the energy evolution of buffered devices is modeled using a discrete-time Markov chain (DTMC). The results highlight the interplay between energy availability and communication reliability. Device 2 achieves superior performance in energy-rich regimes due to buffering and amplification gains, whereas Device 1 becomes more robust in energy-constrained regimes, particularly at larger distances or under high payload requirements. These findings highlight that the optimal device choice depends critically on the operating regime and application demands.

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arxiveess.SP2026-07-03

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arxiveess.SP2026-07-10

Tensor-based Random Access for Ambient IoT Contention Resolution

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arxiveess.SP2026-07-24

PHY Authentication for Ambient IoTs in Near-Field XL-MIMO Backscatter Communication Systems

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arxiveess.SP2026-07-14

Scalable Multi-BD Access for OFDM-Based Symbiotic Backscatter Communications

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We propose an interference-free multi-backscatter device (BD) access scheme for orthogonal frequency division multiplexing (OFDM)-based symbiotic backscatter communication (SBC). Specifically, we introduce an orthogonal frequency-code spread (OFC) scheme in which the transmitter…

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arxiveess.SP2026-06-26

LightFARM: Model Predictive Lighting Control with Battery-Free IoT for Energy-Efficient Indoor Farming

Hao Yu, Yanxiang Wang, Mark Cardamis, Tianlang Zhang, Yihe Yan, Hari Ganesan, et al.

Lighting is the dominant energy load in indoor farming, yet most deployed systems still rely on fixed rule-based or schedule-based control. We present LightFARM, a predictive lighting control framework that couples crop illumination with battery-free sensing for more energy-effic…

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arxiveess.SP2026-07-14

Learning-Based Beamforming for Energy Efficiency of Continuous Aperture Array Systems

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This paper jointly optimizes the base-station (BS) continuous aperture array (CAPA) dimensions and beamforming functions to maximize energy efficiency (EE) of the downlink multiuser multi-CAPA system, where both the BS and the users are equipped with CAPAs. Since the beamforming…

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