Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues

KLA Yau, P Komisarczuk, PD Teal - Journal of Network and Computer …, 2012 - Elsevier
In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …

Intelligent spectrum management based on transfer actor-critic learning for rateless transmissions in cognitive radio networks

AM Koushik, F Hu, S Kumar - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
This paper presents an intelligent spectrum mobility management scheme for cognitive radio
networks. The spectrum mobility could involve spectrum handoff (ie, the user switches to a …

[图书][B] Cognitive radio communication and networking: Principles and practice

RC Qiu, Z Hu, H Li, MC Wicks - 2012 - books.google.com
The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …

Countermeasures for primary user emulation attack: a comprehensive review

N Mishra, S Srivastava, SN Sharan - Wireless Personal Communications, 2020 - Springer
Cognitive radio (CR) is a flexible wireless network that can solve the scarcity and
underutilization problem of the spectrum by permitting unlicensed users to access licensed …

Considerations of reinforcement learning within real-time wireless communication systems

AM Jones, WC Headley - MILCOM 2022-2022 IEEE Military …, 2022 - ieeexplore.ieee.org
This paper investigates the practical limitations and considerations of implementing a
reinforcement learning framework within real-time wireless communication systems. Trade …

A hardware testbed for learning-based spectrum handoff in cognitive radio networks

AM Koushik, E Bentley, F Hu, S Kumar - Journal of Network and Computer …, 2018 - Elsevier
A real-time cognitive radio network (CRN) testbed is implemented by using the universal
software radio peripheral (USRP) and GNU Radio to demonstrate the use of reinforcement …

Route selection over clustered cognitive radio networks: An experimental evaluation

M Musavi, KLA Yau, AR Syed, H Mohamad… - Computer …, 2018 - Elsevier
Cognitive radio (CR) is the next-generation wireless communication system that allows
unlicensed users (or secondary users, SUs) to explore and exploit the underutilized licensed …

Reinforcement learning-based spectrum management for cognitive radio networks: A literature review and case study

M Di Felice, L Bedogni, L Bononi - Handbook of Cognitive Radio, 2019 - cris.unibo.it
In cognitive radio (CR) networks, the cognition cycle, ie, the ability of wireless transceivers to
learn the optimal configuration meeting environmental and application requirements, is …

Distributed interference management using Q-Learning in Cognitive Femtocell networks: New USRP-based Implementation

MHM Elsayed, A Mohamed - 2015 7th International …, 2015 - ieeexplore.ieee.org
Femtocell networks have become a promising solution in supporting high data rates for 5G
systems, where cell densification is performed using the small femtocells. However …

An Experimental study on D2D route selection mechanism in 5G scenarios

MK Chamran, KLA Yau, RM Noor, C Wu - Electronics, 2021 - mdpi.com
This paper demonstrates a route selection mechanism on a testbed with heterogeneous
device-to-device (D2D) wireless communication for a 5G network scenario. The source node …