20 results for “Very Low Power Wi-Fi”
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This paper measures the interference of a commercial Very Low Power Wi-Fi 6E/7 device on a live 5G New Radio system using an SDR testbed and records throughput, block error rate, and signal-to-noise r…
The paper proposes a novel, energy-efficient, and protocol-agnostic security layer for SWIPT IoT networks using a backscatter-based identification mechanism to authenticate devices without conventiona…
MeshGuard is a framework that extends MUD-based network access control to complex, large-scale Thread IoT networks by adapting the MLE protocol and using SDN for scalable policy enforcement.
This paper introduces packetized energy management (PEM) as a framework for transforming 6G infrastructure into energy-aware, grid-interactive assets.
The paper demonstrates that even a casual attacker with basic IT skills can perform sophisticated privacy attacks on smart-home networks, extracting detailed daily routines and personal information fr…
The paper designs and evaluates a BLE-based IoT authentication system that securely transmits PINs and real-time temperature data between a peripheral keypad node and a central LCD node.
Shiqi Xu, Yuyang Du, Mingyue Zhang, Hongwei Cui +1 more
LightGuard introduces a dual-link architecture that uses a physically confined LiFi channel to securely bootstrap cryptographic session keys, thereby mitigating the risk of key exposure inherent in tr…
The paper presents ReWiS, a reservoir framework for WiFi sensing that transforms channel state information into structured streams, encodes them with a graph-coupled reservoir, and adapts to new domai…
This paper presents a portable, battery-powered RF capture system using a HackRF One SDR, Raspberry Pi 5, GNSS receiver, and high-speed storage for recording geotagged IQ data in real-world environmen…
The paper introduces BFIAttack, a novel attack that exploits Beamforming Feedback Information (BFI) to reconstruct a user's Channel State Information (CSI), thereby compromising Wi-Fi physical-layer s…
Hao Yu, Yanxiang Wang, Mark Cardamis, Tianlang Zhang +5 more
This paper presents LightFARM, a predictive lighting control framework for energy-efficient indoor farming that combines finite-horizon predictive control with compact models of photosynthesis, therma…
This paper proposes a quantum receiver integrating front-end quantum sensing and back-end quantum signal processing for 5G/B5G wireless networks, achieving a channel capacity beyond the limit of Succe…
The paper introduces PINSIGHT, a novel methodology that rigorously assesses Wi-Fi PIN code inference attacks by separating environmental effects from typing effects, concluding that current state-of-t…
This paper provides a comprehensive formal security analysis of the WPA3 SAE protocol by modeling and analyzing both its high-level communication logic and its low-level state machine implementation.
The paper proposes a standardized, zonal architecture and an open-source prototype for a dedicated Cyber Range (CR) specifically designed for comprehensive and repeatable Wi-Fi security training and e…
Bohua Zou, Nian Liu, Binqi Sun, Matteo Mascherin +5 more
Proposed EnerInfer framework manages energy efficiency, throughput, and thermal comfort for on-device LLM inference, improving energy efficiency up to 65% without QoE violation.
Chenhao Wu, Xiaojiang Xu, Yuxuan Li, Yuanhao Xu +2 more
This paper proposes IOHMM-BO, a method using a high-order input-output hidden Markov model with Bayesian optimization for predictive dynamic power management in 5G NR user equipment, achieving 43% ene…
The paper analyzes the security and practical deployability of advanced Wi-Fi ranging standards (IEEE 802.11az/bk), concluding that while promising, secure implementation is highly sensitive to config…
This paper evaluates user-perceived performance and QoE of wireless networks at Notre Dame Stadium during football games using commercial smartphones for web browsing, WhatsApp messaging, and Instagra…
Italo Thiago Felix dos Santos, Carlos Eduardo Correa Queiroz, Adevan Neves Santos, Edgard Luciano Oliveira da Silva
This paper presents a sustainable, low-cost Desktop Virtualization Infrastructure using discarded electronic equipment for digital education.