Online power optimization in feedback-limited, dynamic and unpredictable IoT networks

A Marcastel, EV Belmega… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
One of the key challenges in Internet of Things (IoT) networks is to connect many different
types of autonomous devices while reducing their individual power consumption. This …

Online interference mitigation via learning in dynamic IoT environments

A Marcastel, EV Belmega… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
A key challenge for ensuring self-organization capabilities in the Internet of things (IoT) is
that wireless devices must be able to adapt to the network's unpredictable dynamics. In the …

Learning to be green: Robust energy efficiency maximization in dynamic MIMO–OFDM systems

P Mertikopoulos, EV Belmega - IEEE Journal on Selected …, 2016 - ieeexplore.ieee.org
In this paper, we examine the maximization of energy efficiency (EE) in next-generation
multiuser MIMO-OFDM networks that vary dynamically over time-eg, due to user mobility …

Dynamic resource configuration for low-power IoT networks: A multi-objective reinforcement learning method

Y Huang, C Hao, Y Mao, F Zhou - IEEE Communications …, 2021 - ieeexplore.ieee.org
Considering grant-free transmissions in low-power IoT networks with unknown time-
frequency distribution of interference, we address the problem of Dynamic Resource …

Information-driven adaptive sensing based on deep reinforcement learning

A Murad, FA Kraemer, K Bach, G Taylor - Proceedings of the 10th …, 2020 - dl.acm.org
In order to make better use of deep reinforcement learning in the creation of sensing policies
for resource-constrained IoT devices, we present and study a novel reward function based …

On the age-optimality of relax-then-truncate approach under partial battery knowledge in energy harvesting IoT networks

M Hatami, M Codreanu - … and Optimization in Mobile, Ad Hoc …, 2023 - ieeexplore.ieee.org
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 …

Goal-oriented communications for the IoT: System design and adaptive resource optimization

P Di Lorenzo, M Merluzzi, F Binucci… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) applications combine sensing, wireless communication, intelligence,
and actuation, enabling the interaction among heterogeneous devices that collect and …

An optimal policy for joint compression and transmission control in delay-constrained energy harvesting IoT devices

V Hakami, S Mostafavi, NT Javan, Z Rashidi - Computer Communications, 2020 - Elsevier
Energy-efficient communication remains one of the key requirements of the Internet of
Things (IoT) platforms. The concern on energy consumption can be mitigated by exploiting …

Minimizing average on-demand AoI in an IoT network with energy harvesting sensors

M Hatami, M Leinonen… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
Delivering timely status information of a random process has become increasingly important
for time-sensitive applications, eg, vehicle tracking and environment monitoring. We …

Learning-based resource management for low-power and lossy IoT networks

A Musaddiq, R Ali, SW Kim… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) networks are key to the realization of modern industries and
societies. A key application of IoT is in smart-grid communications. Smart-grid networks are …