Large scale resource allocation for the internet of things network based on ADMM

Y He, S Zhang, L Tang, Y Ren - IEEE Access, 2020 - ieeexplore.ieee.org
Large scale deployment of Internet of Things (IoT) devices poses challenges in resource
allocation. In this paper, alternating direction method of multipliers (ADMM) is adopted to …

Joint optimization of multi-objective reinforcement learning with policy gradient based algorithm

Q Bai, M Agarwal, V Aggarwal - arXiv preprint arXiv:2105.14125, 2021 - arxiv.org
Many engineering problems have multiple objectives, and the overall aim is to optimize a
non-linear function of these objectives. In this paper, we formulate the problem of …

Admm-based distributed online algorithm for energy management in hybrid energy powered cellular networks

P Du, L Ran, D Zhai, R Ren, Q Zeng - IEEE Access, 2019 - ieeexplore.ieee.org
Energy harvesting has been considered as a promising technique to decrease the
conventional grid energy expenditure. However, most renewable energy sources are …

Online power management strategies for energy harvesting mobile networks

ÁF Gambín, M Scalabrin, M Rossi - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The design of self-sustainable base station (BS) deployments is addressed in this paper. We
target deployments featuring small BSs with energy harvesting (EH) and storage …

Energy scheduling for optical channels with energy harvesting devices

V Aggarwal, Z Wang, X Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Optical communication systems (with visible light communication as an example) have
emerged as a promising candidate for supporting high throughput requirements. Such high …

[HTML][HTML] Machine Learning for Communications

V Aggarwal - Entropy, 2021 - mdpi.com
Due to the proliferation of applications and services that run over communication networks,
ranging from video streaming and data analytics to robotics and augmented reality …

Learning AP in wireless powered communication networks

A Iqbal, Y Kim, TJ Lee - International Journal of Communication …, 2019 - Wiley Online Library
In a wireless powered communication network (WPCN), sensor nodes harvest energy to
transmit information. By a harvest‐then‐transmit (HT) protocol, nodes can be classified into …

Performance of energy harvesting receivers with power optimization

Z Ni, M Motani - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
The difficulty of modeling energy consumption in communication systems leads to
challenges in energy harvesting (EH) systems, in which nodes scavenge energy from their …

[HTML][HTML] Dynamic power allocation for a multiuser transmitter with hybrid energy sources

D Liu, J Lin, J Wang, F Jiang - EURASIP Journal on Wireless …, 2017 - Springer
In this paper, we investigate the problem of dynamic power allocation for a multiuser
transmitter supplied by hybrid energy sources in details. Specifically, we focus on the hybrid …

Joint optimization of concave scalarized multi-objective reinforcement learning with policy gradient based algorithm

Q Bai, M Agarwal, V Aggarwal - Journal of Artificial Intelligence Research, 2022 - jair.org
Many engineering problems have multiple objectives, and the overall aim is to optimize a
non-linear function of these objectives. In this paper, we formulate the problem of …