activity
20092025
most citedNomographic Functions: Efficient Computation in Clustered Gaussian Sensor Networks

120 citations · 901 across the 72 of their papers we have counts for

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Showing 2017 · cs.ITShow all

7 papers · 2 filters

cs.IT2017

A robust machine learning method for cell-load approximation in wireless networks

Daniyal Amir Awan, Renato L. G. Cavalcante, Slawomir Stanczak

We propose a learning algorithm for cell-load approximation in wireless networks. The proposed algorithm is robust in the sense that it is designed to cope with the uncertainty ari…

cs.IT2017★ 9 cited

The MAC Resolvability Region, Semantic Security and Its Operational Implications

Matthias Frey, Igor Bjelakovic, Slawomir Stanczak

Building upon previous work on the relation between secrecy and channel resolvability, we revisit a secrecy proof for the multiple-access channel (MAC) from the perspective of reso…

cs.IT2017★ 3 cited

Optimal deep neural networks for sparse recovery via Laplace techniques

Steffen Limmer, Slawomir Stanczak

This paper introduces Laplace techniques for designing a neural network, with the goal of estimating simplex-constraint sparse vectors from compressed measurements. To this end, we…

cs.IT2017★ 2 cited

MAC Resolvability: First And Second Order Results

Matthias Frey, Igor Bjelakovic, Slawomir Stanczak

Building upon previous work on the relation between secrecy and channel resolvability, we revisit a secrecy proof for the multiple-access channel from the perspective of resolvabil…

cs.IT2017★ 2 cited

The role of asymptotic functions in network optimization and feasibility studies

R. L. G. Cavalcante, S. Stanczak

Solutions to network optimization problems have greatly benefited from developments in nonlinear analysis, and, in particular, from developments in convex optimization. A key conce…

cs.IT2017

User Activity Detection via Group Testing and Coded Computation

Matthias Frey, Igor Bjelaković, Sławomir Stańczak

Inspired by group testing algorithms and the coded computation paradigm, we propose and analyze a novel multiple access scheme for detecting active users in large-scale networks. T…