Tag: phd

Curriculum Learning for mmWave Beam Selection

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,…

More humanoid agents with Hierarchical Reinforcement Learning

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…

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…

What is Open-RAN and How ML Plays a Big Role in its Development?

In this post we will be talking about the following topics: What is Open RAN? Open RAN and 5G. Current challenges and its limitations. The importance of AI/ML for Open-RAN. Open RAN vs Legacy network architecture To start talking about open-RAN we can first have a look of how a traditional network architecture is designed:…

Far from Home: A travel for PhD

Far from Home: A travel for PhD

My life experiences have taught me one thing: always expect the unexpected. I am Anay Ajit Deshpande, pursuing my PhD in University of Padova, Italy. But this story is not about my time in Italy, it is about the moments leading up to it. Scene 1: Scrawny Little Child Born and raised slightly outside of…

My Ph.D. in Finland

My Ph.D. in Finland

My name is Parham and I want to share my journey in ITN WindMill project with you. I was born in Shiraz, a southwest city in Iran. I got my bachelor’s degree from Shiraz University in communications engineering. During this time we had some alumni occasionally visiting the university, and they shared their stories with…

Emergence of MAC Protocols with Multi-Agent Reinforcement Learning

In this post we will discuss how can we allow medium access control (MAC) protocols to emerge with multi-agent reinforcement learning (MARL). Current MAC protocols are designed by engineers as a predefined set of rules, but have we addressed the question of what happens if we let the network come up with its own MAC…

Industrial PhD

PhD or industry? One-million-dollar question: Going towards Academic field or Practical work? This is the most common question that will come to your mind after graduation. Each one of them has its advantages and disadvantages, so how should I pick one of them? I remember a piece of advice given to me by my professor during…

My PhD in a Research Institution

People often associate PhD life with an academic career. While you need a university to award you with a PhD title, it doesn’t mean that you strictly have to carry out your research inside the university. But choosing a PhD can be a gruesome task, because you never know if it’s going to be a…

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