Distributed Q-learning for aggregated interference control in cognitive radio networks

A Galindo-Serrano, L Giupponi - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper deals with the problem of aggregated interference generated by multiple
cognitive radios (CRs) at the receivers of primary (licensed) users. In particular, we consider …

Decentralized cognitive radio control based on inference from primary link control information

S Huang, X Liu, Z Ding - IEEE Journal on Selected Areas in …, 2011 - ieeexplore.ieee.org
This work on cognitive radio access ventures beyond the more traditional" listen-before-talk"
paradigm that underlies many cognitive radio access proposals. We exploit the bi-directional …

[PDF][PDF] Multiagent-learning for aloha-like spectrum access in cognitive radio systems

H Li - EURASIP Journal on Wireless Communications and …, 2010 - Springer
An Aloha-like spectrum access scheme without negotiation is considered for multiuser and
multichannel cognitive radio systems. To avoid collisions incurred by the lack of …

Interference aggregation in spectrum-sensing cognitive wireless networks

A Ghasemi, ES Sousa - IEEE Journal of Selected Topics in …, 2008 - ieeexplore.ieee.org
The increasing demand for the radio spectrum along with the inefficient usage of the
licensed bands has led the regulatory bodies to consider opening up the under-utilized …

Opportunistic interference cancellation in cognitive radio systems

P Popovski, H Yomo, K Nishimori… - 2007 2nd IEEE …, 2007 - ieeexplore.ieee.org
In this paper we investigate the problem of spectrally efficient operation of a cognitive radio
(CR), also called secondary system (SS), under an interference from the primary system …

Applications of reinforcement learning to cognitive radio networks

KLA Yau, P Komisarczuk… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Cognitive Radio (CR) enables an unlicensed user to change its transmission and reception
parameters adaptively according to spectrum availability in a wide range of licensed …

Cognitive interference management in retransmission-based wireless networks

M Levorato, U Mitra, M Zorzi - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Cognitive radio methodologies have the potential to dramatically increase the throughput of
wireless systems. Herein, control strategies which enable the superposition in time and …

[PDF][PDF] Spectrum management of cognitive radio using multi-agent reinforcement learning.

C Wu, KR Chowdhury, M Di Felice, W Meleis - AAMAS, 2010 - ece.neu.edu
Wireless cognitive radio (CR) is a newly emerging paradigm that attempts to
opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of …

Multi-agent Q-learning of channel selection in multi-user cognitive radio systems: A two by two case

H Li - 2009 IEEE International Conference on Systems, Man …, 2009 - ieeexplore.ieee.org
Resource allocation is an important issue in cognitive radio systems. It can be done by
carrying out negotiation among secondary users. However, significant overhead may be …

Interference alignment based on antenna selection with imperfect channel state information in cognitive radio networks

X Li, N Zhao, Y Sun, FR Yu - IEEE Transactions on Vehicular …, 2015 - ieeexplore.ieee.org
Interference alignment (IA) is a promising technique that can eliminate interference in
wireless networks effectively and has been applied to spectrum sharing in cognitive radio …