Clustering applications in Wireless Networks
Following this series of research articles, today we will briefly discuss some of our recent contributions of clustering applied to Wireless Networks. By definition, clustering consists of grouping a set of elements according to some criteria (often the similarity among these elements). We will start with a general review of the topic and then will…
Roberto Pereira
In-person vs virtual conference? Which is better?
There has been a surge in discussion that recent social media aspects of the society has driven humans closer virtually, but physically further. In the modern world it is easy for anyone to find a job, house, study course or even simple daily life activities just by “looking up” online and connecting with relevant material…
Anay Deshpande
Multiagent RL and Scalability Challenges for Random Access in MTC
Machine-type communication (MTC) paradigm in wireless communication will help connect millions of devices to perform different tasks without human involvement. There are numerous use cases of MTC, such as a factory automation, fleet management, smart homes and smart metering, e-health and smart logistics, etc. Mostly, the devices called machine-type devices (MTDs) in the MTC network…
Muhammad Jadoon
Zero-shot Motion Pattern Recognition from 4D point-clouds
Introduction In this post, we are going to discuss the pattern recognition from spatial data in motion through a zero-shot learning scenario. We use Siamese networks architecture to recognize unseen classes of motion patterns. A graph-based approach is adopted to achieve permutation invariance and encode moving point clouds into a representation in a computationally efficient way. Point-clouds…
Dariush Salami
Online Courses for Studying ML
Hi everyone, I’m glad to meet all of you here again. If you are looking to start studying ML and have no idea how, especially considering the vast amount of information available on the web (which sometimes makes you feel completely lost), I can try clarifying it for you with today’s blog. I will recommend…
Pedro Maia de Sant Ana
SMURF: Reliable Multipath Routing in Flying Ad-Hoc Networks
Unmanned Aerial Vehicles (UAVs) are used in a wide range of applications, from tracking and monitoring animals in remote areas [1] to military applications [2]. In general, drones are used to search, identify and monitor interesting events over massive and/or inaccessible areas. In order to effectively accomplish the task, multiple UAVs are deployed in a certain area and are expected to coordinate actions in an autonomous fashion or execute direct instructions from a control center.
Curriculum Learning for mmWave Beam Selection
Curriculum Learning Curriculum Learning [1] is a biologically inspired procedure to train machine learning models. While it is usual practice to train Neural Networks (NNs) using batches of data sampled uniformly in random from the training dataset, curriculum learning mimics the way humans learn, starting from simpler training samples that unveil general and raw concepts,…
Matteo Zecchin
More humanoid agents with Hierarchical Reinforcement Learning
As you may have guessed from its name, Hierarchical Reinforcement Learning (HRL) is a family of Reinforcement Learning algorithms that decompose the problem into different hierarchies of subproblems or subtasks, and the higher-qlevel tasks invoke the primitive lower-level tasks. The goal of HRL is to learn a multilayer policy to perform control at different levels…
Salman Mohebi
Collaborative Sensing in Cellular Networks
One of the potential solutions for tackling the problem of RF congestion is integrating sensing and communication infrastructures in a manner where they use the same frequency band in a controlled way. In our last paper, which is submitted to Journal of Selected Areas in Communications (JSAC), we have proposed a mechanism to perform multi-radar…
Grassmann Manifolds – Subspace Comparisons
In this article we will review the basic concepts related to Grassmann Manifolds and how they are applied in subspace comparison. The original motivation for this post can be found in the field of clustering of multi-antenna wireless communication [1], which is the focus of my research in the context of the Windmill project. Quick…
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