12 citations · 12 across the 7 of their papers we have counts for
9 papers
Network-Aware Forecasting on Wireless Access Points
Niloo Bahadori, Swadhin Pradhan, Peiman Amini
Enterprise wireless access points (APs) are promising platforms for predictive machine learning (ML), but their primary responsibility remains providing wireless connectivity and n…
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
Swadhin Pradhan, Niloo Bahadori, Peiman Amini
Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol layers. We present APEX, a…
SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing
Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato +1
Modern IEEE 802.11 (Wi-Fi) networks extensively rely on multiple-input multiple-output (MIMO) to significantly improve throughput. To correctly beamform MIMO transmissions, the acc…
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning
Niloofar Bahadori, Jonathan Ashdown, Francesco Restuccia
Thanks to the ubiquitousness of Wi-Fi access points and devices, Wi-Fi sensing enables transformative applications in remote health care, security, and surveillance. Existing work…
Enabling Content-Centric Device-to-Device Communication in the Millimeter-Wave Band
Niloofar Bahadori, Mahmoud Nabil, Brian Kelley +1
The growth in wireless traffic and mobility of devices have congested the core network significantly. This bottleneck, along with spectrum scarcity, made the conventional cellular…
Device-to-Device Communications in Millimeter Wave Band: Impact of Beam Alignment Error
Niloofar Bahadori, Nima Namvar, Brian Kelley +1
Exploiting the millimeter wave (mmWave) band has recently attracted considerable attention as a potential solution to widespread deployment of device-to-device (D2D) communication…
Device-to-Device Communications in the Millimeter Wave Band: A Novel Distributed Mechanism
Niloofar Bahadori, Nima Namvar, Brian Kelley +1
In spite of its potential advantages, the large-scale implementation of the device-to-device (D2D) communications has yet to be realized, mainly due to severe interference and lack…
Jamming in the Internet of Things: A Game-Theoretic Perspective
Nima Namvar, Walid Saad, Niloofar Bahadori +1
Due to its scale and largely interconnected nature, the Internet of Things (IoT) will be vulnerable to a number of security threats that range from physical layer attacks to networ…
Context-Aware D2D Peer Selection for Load Distribution in LTE Networks
Nima Namvar, Niloofar Bahadori, Fatemeh Afghah
In this paper we propose a novel context-aware approach for resource allocation in device to device (D2D) communication networks which exploits context information about the users…