activity
20182021
most citedFundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies

12 citations · 25 across the 5 of their papers we have counts for

collaborators

6 papers

cs.IT2021

Data Aggregation in Synchronous Large-scale IoT Networks: Granularity, Reliability, and Delay Tradeoffs

Yasser Nabil, Hesham ElSawy, Suhail Al-Dharrab +2

This paper studies data aggregation in large-scale regularly deployed Internet of Things (IoT) networks, where devices generate synchronized time-triggered traffic (e.g., measureme…

eess.SP202110 cited

Energy-Efficient mm-Wave Backhauling via Frame Aggregation in Wide Area Networks

Varun Amar Reddy, Gordon L. Stüber, Suhail Al-Dharrab +2

Wide area networks for surveying applications, such as seismic acquisition, have been witnessing a significant increase in node density and area, where large amounts of data have t…

eess.SP202012 cited

Fundamental Performance Limits of mm-Wave Cooperative Localization in Linear Topologies

V. A. Reddy, A. Bazzi, G. L. Stuber +3

In applications such as seismic acquisition, the position information of sensor nodes, that are deployed in a linear topology, is desired with sub-meter accuracy in the presence of…

cs.IT2020

Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition

Abdullah Othman, Wessam Mesbah, Naveed Iqbal +3

Traditional seismic acquisition systems suffer from a number of difficulties related to telemetry cables that are used as a means of data transmission. Transforming the traditional…

cs.IT20193 cited

Performance of Two-Way Relaying over - Fading Channels in Hybrid RF/FSO Wireless Networks

Mohammed A. Amer, Suhail Al-Dharrab

In this paper, the performance of two-way relaying in mixed RF/FSO communication system with a backup RF link is investigated. Uplink RF channels are used to send data of users…

cs.CV2018

A comparative study of texture attributes for characterizing subsurface structures in seismic volumes

Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +8

In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a…