406 citations · 635 across the 64 of their papers we have counts for
7 papers · 1 filter
Fast and Reliable Initial Access with Random Beamforming for mmWave Networks
Yanpeng Yang, Hossein S. Ghadikolaei, Carlo Fischione +2
Millimeter-wave (mmWave) communications rely on directional transmissions to overcome severe path loss. Nevertheless, the use of narrow beams complicates the initial access procedu…
Low-latency Networking: Where Latency Lurks and How to Tame It
Xiaolin Jiang, Hossein S. Ghadikolaei, Gabor Fodor +4
While the current generation of mobile and fixed communication networks has been standardized for mobile broadband services, the next generation is driven by the vision of the Inte…
Learning Kolmogorov Models for Binary Random Variables
Hadi Ghauch, Mikael Skoglund, Hossein Shokri-Ghadikolaei +2
We summarize our recent findings, where we proposed a framework for learning a Kolmogorov model, for a collection of binary random variables. More specifically, we derive condition…
A Unified Framework for Training Neural Networks
Hadi Ghauch, Hossein Shokri-Ghadikolaei, Carlo Fischione +1
The lack of mathematical tractability of Deep Neural Networks (DNNs) has hindered progress towards having a unified convergence analysis of training algorithms, in the general sett…
Low-Overhead Coordination in Sub-28 Millimeter-Wave Networks
Hadi Ghauch, Taejoon Kim, Mikael Skoglund +1
In this paper, we present some contributions from our recent investigation. We address the open issue of interference coordination for sub-28 GHz millimeter-wave communication, by…
Reducing Initial Cell-search Latency in mmWave Networks
Yanpeng Yang, Hossein S. Ghadikolaei, Carlo Fischione +2
Millimeter-wave (mmWave) networks rely on directional transmissions, in both control plane and data plane, to overcome severe path-loss. Nevertheless, the use of narrow beams compl…