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20142026
most citedModeling and Analysis of Cellular Networks using Stochastic Geometry: A Tutorial

547 citations · 830 across the 57 of their papers we have counts for

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eess.SP2026

Opportunistic Network-Level ISAC with Cooperative Sensing: A Meta-Distribution Analysis

Yasser Nabil, Hesham ElSawy, Hossam S. Hassanein

We propose a cooperative sensing framework for mmWave ISAC networks in which a target is sensed by its nearest BS while opportunistically exploiting bistatic echoes from neighborin…

cs.NI2026

Fronthaul Network Planning for Hierarchical and Radio-Stripes-Enabled CF-mMIMO in O-RAN

Anas S. Mohammed, Krishnendu S. Tharakan, Hussein A. Ammar +2

The deployment of ultra-dense networks (UDNs), particularly cell-free massive MIMO (CF-mMIMO), is mainly hindered by costly and capacity-limited fronthaul links. This work proposes…

eess.SP2026

Fluid-Antenna-Enabled Integrated Bistatic Sensing and Backscatter Communication Systems

A. Abdelaziz Salem, Saeed Abdallah, Khawla Alnajjar +4

This paper studies a fluid-antenna-enabled integrated bistatic sensing and backscatter communication system for future networks where connectivity, power delivery, and environmenta…

cs.LG2026

Probabilistic Sensing: Intelligence in Data Sampling

Ibrahim Albulushi, Saleh Bunaiyan, Suraj S. Cheema +2

Extending the intelligence of sensors to the data-acquisition process - deciding whether to sample or not - can result in transformative energy-efficiency gains. However, making su…

cs.ET2026

Configurable p-Neurons Using Modular p-Bits

Saleh Bunaiyan, Mohammad Alsharif, Abdelrahman S. Abdelrahman +5

Probabilistic bits (p-bits) have recently been employed in neural networks (NNs) as stochastic neurons with sigmoidal probabilistic activation functions. Nonetheless, there remain…