no code implementations • 16 Oct 2023 • Hamza Djelouat, Mikko J. Sillanpää, Markus Leinonen, Markku Juntti
To solve the JUICE problem, we first leverage the concept of strong priors and propose a hierarchical-sparsity-inducing spike-and-slab prior to model the structured sparse activity pattern.
no code implementations • 31 Mar 2023 • Mohammad Hatami, Markus Leinonen, Marian Codreanu
We study status updating under inexact knowledge about the battery levels of the energy harvesting sensors in an IoT network, where users make on-demand requests to a cache-enabled edge node to send updates about various random processes monitored by the sensors.
no code implementations • 12 Dec 2022 • Mohammad Hatami, Markus Leinonen, Marian Codreanu
We consider an energy harvesting (EH) IoT network, where users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, each monitored by an EH sensor.
no code implementations • 30 Nov 2022 • Hamza Djelouat, Markus Leinonen, Markku Juntti
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a \emph{clustered} user activity pattern.
no code implementations • 27 Sep 2022 • Leatile Marata, Onel Luis Alcaraz López, Hamza Djelouat, Markus Leinonen, Hirley Alves, Markku Juntti
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC).
no code implementations • 23 Sep 2022 • Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, Marian Codreanu
This letter provides query-age-optimal joint sampling and transmission scheduling policies for a heterogeneous status update system, consisting of a stochastic arrival and a generate-at-will source, with an unreliable channel.
no code implementations • 19 Jul 2022 • Saeid Sadeghi Vilni, Mohammad Moltafet, Markus Leinonen, Marian Codreanu
Finally, we consider unknown environment and devise a learning-based transmission policy by relaxing the CMDP problem into an MDP problem using the DPP method and then adopting the deep Q-learning algorithm.
no code implementations • 19 Mar 2022 • Mohammad Hatami, Markus Leinonen, Marian Codreanu
We consider status updating under inexact knowledge of the battery level of an energy harvesting (EH) sensor that sends status updates about a random process to users via a cache-enabled edge node.
no code implementations • 13 Mar 2022 • Lucas Ribeiro, Markus Leinonen, Hanan Al-Tous, Olav Tirkkonen, Markku Juntti
Massive multiple-input multiple-output (mMIMO) technology is a way to increase the spectral efficiency of machine-type communications (MTC).
no code implementations • 10 Mar 2022 • Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, Marian Codreanu
The CMDP problem is solved by transforming it into an MDP problem using the Lagrangian relaxation method.
no code implementations • 28 Jan 2022 • Mohammad Hatami, Markus Leinonen, Zheng Chen, Nikolaos Pappas, Marian Codreanu
We consider a resource-constrained IoT network, where multiple users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, each monitored by an energy harvesting sensor.
no code implementations • 8 Dec 2021 • Hamza Djelouat, Leatile Marata, Markus Leinonen, Hirley Alves, Markku Juntti
This paper addresses the problem of joint user identification and channel estimation (JUICE) for grant-free access in massive machine-type communications (mMTC).
no code implementations • 10 Sep 2021 • Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, Marian Codreanu
We propose an algorithm that obtains a stationary deterministic near-optimal policy, establishing a benchmark for the system.
no code implementations • 24 Apr 2021 • Lucas Ribeiro, Markus Leinonen, Hanan Al-Tous, Olav Tirkkonen, Markku Juntti
This work addresses the design of channel features from correlated fading channels to assist the pilot assignment in multi-sector mMTC systems under pilot reuse of orthogonal sequences.
no code implementations • 17 Apr 2021 • Hamza Djelouat, Markus Leinonen, Markku Juntti
First, for the case without prior information, we formulate the JUICE as an iterative reweighted $\ell_{2, 1}$-norm minimization problem.
no code implementations • 15 Mar 2021 • Hamza Djelouat, Markus Leinonen, Markku Juntti
Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC).
no code implementations • 13 Feb 2021 • Aditya Sant, Markus Leinonen, Bhaskar D. Rao
Block-sparse signal recovery without knowledge of block sizes and boundaries, such as those encountered in multi-antenna mmWave channel models, is a hard problem for compressed sensing (CS) algorithms.
no code implementations • 9 Sep 2020 • Mohammad Hatami, Markus Leinonen, Marian Codreanu
Users send requests to the edge node where a cache contains the most recently received measurements from each sensor.
no code implementations • 17 May 2020 • Markus Leinonen, Marian Codreanu
In such a quantized compressed sensing (QCS) context, we address remote acquisition of a sparse source through vector quantized noisy compressive measurements.
no code implementations • 27 Apr 2020 • Mohammad Hatami, Mojtaba Jahandideh, Markus Leinonen, Marian Codreanu
We consider an IoT sensing network with multiple users, multiple energy harvesting sensors, and a wireless edge node acting as a gateway between the users and sensors.