Search Results for author: Ehsan Tohidi

Found 8 papers, 0 papers with code

Revisiting Matching Pursuit: Beyond Approximate Submodularity

no code implementations12 May 2023 Ehsan Tohidi, Mario Coutino, David Gesbert

We study the problem of selecting a subset of vectors from a large set, to obtain the best signal representation over a family of functions.

D-Band RIS as a Reflect Array: Characterization and Hardware Impairments Study

no code implementations10 May 2023 Ehsan Tohidi, Robert Stoecker, Julia-Marie Koeszegi, Slawomir Stanczak

Reflecting intelligent surface (RIS) has emerged as a promising technology for enhancing wireless communication performance and enabling new applications in 6G networks with potentially low energy consumption and hardware complexity thanks to their passive nature.

Near-Optimal LOS and Orientation Aware Intelligent Reflecting Surface Placement

no code implementations5 May 2023 Ehsan Tohidi, Sven Haesloop, Lars Thiele, Slawomir Stanczak

More specifically, locations, which determine whether BS-IRS and IRS-UE line of sight (LOS) links exist, and surface orientation, which determines whether the BS and UE are within the field of view (FoV) of the surface, play crucial roles in the quality of provided coverage.

Combinatorial Optimization

Machine Learning-based Methods for Reconfigurable Antenna Mode Selection in MIMO Systems

no code implementations24 Nov 2022 Yasaman Abdollahian, Ehsan Tohidi, Martin Kasparick, Li Wang, Ahmet Hasim Gokceoglu, Slawomir Stanczak

Due to the non-convexity of this problem, we propose machine learning-based methods for RA antenna mode selection in both dynamic and static scenarios.

Submodularity in Action: From Machine Learning to Signal Processing Applications

no code implementations17 Jun 2020 Ehsan Tohidi, Rouhollah Amiri, Mario Coutino, David Gesbert, Geert Leus, Amin Karbasi

We introduce a variety of submodular-friendly applications, and elucidate the relation of submodularity to convexity and concavity which enables efficient optimization.

BIG-bench Machine Learning

Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems

no code implementations6 May 2020 Ehsan Tohidi, David Gesbert, Philippe Ciblat

We address the problem of resource allocation (RA) in a cognitive radio (CR) communication system with multiple secondary operators sharing spectrum with an incumbent primary operator.

Distributed Optimization

Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis

no code implementations6 May 2020 Ehsan Tohidi, David Gesbert, Antonio Bazco-Nogueras, Paul de Kerret

We address the problem of resource allocation (RA) for spectrum underlay in a cognitive radio (CR) communication system with multiple secondary operators sharing resource with an incumbent primary operator.

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