Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

Resource allocation for underlay cognitive radio networks: A survey

M El Tanab, W Hamouda - IEEE Communications Surveys & …, 2016 - ieeexplore.ieee.org
For conventional wireless networks, the main target of resource allocation (RA) is to
efficiently utilize the available resources. Generally, there are no changes in the available …

Joint scheduling and power control for wireless ad hoc networks

T ElBatt, A Ephremides - IEEE Transactions on Wireless …, 2004 - ieeexplore.ieee.org
In this paper, we introduce a cross-layer design framework to the multiple access problem in
contention-based wireless ad hoc networks. The motivation for this study is twofold, limiting …

Power control based on deep reinforcement learning for spectrum sharing

H Zhang, N Yang, W Huangfu, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …

Energy-efficient packet transmission over a wireless link

E Uysal-Biyikoglu, B Prabhakar… - IEEE/ACM Transactions …, 2002 - ieeexplore.ieee.org
The paper considers the problem of minimizing the energy used to transmit packets over a
wireless link via lazy schedules that judiciously vary packet transmission times. The problem …

Resource allocation for spectrum underlay in cognitive radio networks

LB Le, E Hossain - IEEE Transactions on Wireless …, 2008 - ieeexplore.ieee.org
A resource allocation framework is presented for spectrum underlay in cognitive wireless
networks. We consider both interference constraints for primary users and quality of service …

Intelligent power control for spectrum sharing in cognitive radios: A deep reinforcement learning approach

X Li, J Fang, W Cheng, H Duan, Z Chen, H Li - IEEE access, 2018 - ieeexplore.ieee.org
We consider the problem of spectrum sharing in a cognitive radio system consisting of a
primary user and a secondary user. The primary user and the secondary user work in a non …

Dynamic spectrum access with QoS and interference temperature constraints

Y **ng, CN Mathur, MA Haleem… - … on mobile computing, 2007 - ieeexplore.ieee.org
Spectrum is one of the most precious radio resources. With the increasing demand for
wireless communication, efficiently using the spectrum resource has become an essential …

[BOOK][B] Green communications: theoretical fundamentals, algorithms and applications

J Wu, S Rangan, H Zhang - 2012 - books.google.com
Nowadays energy crisis and global warming problems are hanging over everyone's head,
urging much research work on energy saving. In the ICT industry, which is becoming a major …

Energy-efficient transmission over a wireless link via lazy packet scheduling

B Prabhakar, EU Biyikoglu… - … IEEE INFOCOM 2001 …, 2001 - ieeexplore.ieee.org
The paper considers the problem of minimizing the energy used to transmit packets over a
wireless link via lazy schedules that judiciously vary packet transmission times. The problem …