Fetching the paper…
Reading the bibliography…
We consider the problem of dynamic spectrum access for network utility maximization in multichannel wireless networks.
C. J. Watkins and P. Dayan, “Q-learning,” Machine learning
1992
Earlier work this paper cites.
P. Auer, N. Cesa-Bianchi, Y. Freund, and R. E. Schapire, “Gambling in a rigged casino: The adversarial multi-armed bandit problem,” in 36th Annual Symposium on Foundations of Computer Science, 1995
1995
Earlier work this paper cites.
J. Havil, “Gamma: Exploring Euler’s Constant,” Princeton, NJ: Princeton University Press
2003
Earlier work this paper cites.
K. Kar, S. Sarkar, and L. Tassiulas, “Achieving proportional fairness using local information in aloha networks,” IEEE Transactions on Automatic Control
2004
Earlier work this paper cites.
Z. Han, Z. Ji, and K. R. Liu, “Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions,” IEEE Transactions on Communications
2005
Earlier work this paper cites.
W. Wang and X. Liu, “List-coloring based channel allocation for open-spectrum wireless network,” In proc. of IEEE Vehic. Tech. Conf
2005
Earlier work this paper cites.
A. Leshem and E. Zehavi, “Bargaining over the interference channel,” in IEEE International Symposium on Information Theory
2006
Earlier work this paper cites.
Q. Zhao and B. Sadler, “A survey of dynamic spectrum access,” IEEE Signal Processing Magazine
2007
Earlier work this paper cites.
Q. Zhao, L. Tong, A. Swami, and Y. Chen, “Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework,” IEEE Journal on selected areas in communications
2007
Earlier work this paper cites.
I. Menache and N. Shimkin, “Rate-based equilibria in collision channels with fading,” IEEE Journal on Selected Areas in Communications
2008
Earlier work this paper cites.
S. H. A. Ahmad, M. Liu, T. Javidi, Q. Zhao, and B. Krishnamachari, “Optimality of myopic sensing in multichannel opportunistic access,” IEEE Transactions on Information Theory
2009
Earlier work this paper cites.
U. O. Candogan, I. Menache, A. Ozdaglar, and P. A. Parrilo, “Competitive scheduling in wireless collision channels with correlated channel state,” in Game Theory for Networks, 2009. GameNets’ 09. International Conference on
2009
Earlier work this paper cites.
J. Wang, Y. Huang, and H. Jiang, “Improved algorithm of spectrum allocation based on graph coloring model in cognitive radio,” in WRI International Conference on Communications and Mobile Computing
2009
Earlier work this paper cites.
H. Li, “Multiagent-learning for Aloha-like spectrum access in cognitive radio systems,” EURASIP Journal on Wireless Communications and Networking
2010
Earlier work this paper cites.
K. Liu and Q. Zhao, “Indexability of restless bandit problems and optimality of whittle index for dynamic multichannel access,” IEEE Transactions on Information Theory
2010
Earlier work this paper cites.
T. To and J. Choi, “On exploiting idle channels in opportunistic multichannel aloha,” IEEE Communications Letters
2010
Earlier work this paper cites.
I. Menache and A. Ozdaglar, “Network games: Theory, models, and dynamics,” Synthesis Lectures on Communication Networks
2011
Earlier work this paper cites.
K. Wang and L. Chen, “On optimality of myopic policy for restless multi-armed bandit problem: An axiomatic approach,” IEEE Transactions on Signal Processing
2012
Earlier work this paper cites.
C. Tekin and M. Liu, “Approximately optimal adaptive learning in opportunistic spectrum access,” in Proceedings IEEE INFOCOM
2012
Earlier work this paper cites.
L. M. Law, J. Huang, and M. Liu, “Price of anarchy for congestion games in cognitive radio networks,” IEEE Transactions on Wireless Communications
2012
Earlier work this paper cites.
A. Leshem, E. Zehavi, and Y. Yaffe, “Multichannel opportunistic carrier sensing for stable channel access control in cognitive radio systems,” IEEE Journal on Selected Areas in Communications
2012
Cited alongside, same era.
2013
Cited alongside, same era.
H. Liu, K. Liu, and Q. Zhao, “Learning in a changing world: Restless multiarmed bandit with unknown dynamics,” IEEE Transactions on Information Theory
2013
Cited alongside, same era.
H. Wu, C. Zhu, R. J. La, X. Liu, and Y. Zhang, “Fasa: Accelerated S-ALOHA using access history for event-driven M2M communications,” IEEE/ACM Transactions on Networking (TON)
2013
Cited alongside, same era.
J. Foerster, Y. M. Assael, N. de Freitas, and S. Whiteson, “Learning to communicate with deep multi-agent reinforcement learning,” in Advances in Neural Information Processing Systems
2016
Later among the works it cites.
2016
Later among the works it cites.
O. Avner and S. Mannor, “Multi-user lax communications: a multi-armed bandit approach,” in the 35th Annual IEEE International Conference on Computer Communications (INFOCOM)
2016
Later among the works it cites.
C. Singh, A. Kumar, and R. Sundaresan, “Combined base station association and power control in multichannel cellular networks,” IEEE/ACM Transactions on Networking
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
K. Cohen, A. Leshem, and E. Zehavi, “Game theoretic aspects of the multi-channel ALOHA protocol in cognitive radio networks,” IEEE Journal on Selected Areas in Communications
2013
Cited alongside, same era.
A. Checco and D. Leith, “Learning-based constraint satisfaction with sensing restrictions,” IEEE Journal of Selected Topics in Signal Processing
2013
Cited alongside, same era.
Cambridge University Press, 2013
R. Srikant and L. Ying, Communication networks: an optimization, control, and stochastic networks perspective · 2013
Cited alongside, same era.
K. Cohen, Q. Zhao, and A. Scaglione, “Restless multi-armed bandits under time-varying activation constraints for dynamic spectrum access,” in 48th Asilomar Conference on Signals, Systems and Computers
2014
Cited alongside, same era.
O. Naparstek and A. Leshem, “Fully distributed optimal channel assignment for open spectrum access,” IEEE Transactions on Signal Processing
2014
Cited alongside, same era.
2014
Cited alongside, same era.
2014
Cited alongside, same era.
I.-H. Hou, P. Gupta, et al
2014
Cited alongside, same era.
K. Cohen and A. Leshem, “Distributed game-theoretic optimization and management of multichannel aloha networks,” IEEE/ACM Transactions on Networking
2016
Later among the works it cites.
H. Van Hasselt, A. Guez, and D. Silver, “Deep reinforcement learning with double Q-learning.,” in AAAI
2016
Later among the works it cites.
O. Naparstek and K. Cohen, “Deep multi-user reinforcement learning for dynamic spectrum access in multichannel wireless networks,” to appear in Proc. of the IEEE Global Communications Conference (GLOBECOM)
2017
Closest in time.
Y. Li, “Deep reinforcement learning: An overview,” arXiv preprint arXiv:1701.07274
2017
Closest in time.
S. Wang, H. Liu, P. H. Gomes, and B. Krishnamachari, “Deep reinforcement learning for dynamic multichannel access,” in International Conference on Computing, Networking and Communications (ICNC)
2017
Closest in time.
2017
Closest in time.
K. Cohen, A. Nedić, and R. Srikant, “Distributed learning algorithms for spectrum sharing in spatial random access wireless networks,” IEEE Transactions on Automatic Control
2017
Closest in time.
2018
Closest in time.
S. Wang, H. Liu, P. H. Gomes, and B. Krishnamachari, “Deep reinforcement learning for dynamic multichannel access in wireless networks,” to appear in the IEEE Transactions on Cognitive Communications and Networking
2018
Closest in time.
B. Huang, K. Cohen, and Q. Zhao, “Active anomaly detection in heterogeneous processes,” IEEE Transactions on Information Theory
2018
Closest in time.
2018
Closest in time.
T. Gafni and K. Cohen, “Learning in restless multi-armed bandits using adaptive arm sequencing rules,” in Proc. of the IEEE International Symposium on Information Theory (ISIT)
2018
Closest in time.
T. Gafni and K. Cohen, “Learning in restless multi-armed bandits via adaptive arm sequencing rules,” submitted to IEEE Transactions on Automatic Control
2018
Closest in time.
H. Cao and J. Cai, “Distributed opportunistic spectrum access in an unknown and dynamic environment: A stochastic learning approach,” IEEE Transactions on Vehicular Technology
2018
Closest in time.
I. Bistritz and A. Leshem, “Approximate best-response dynamics in random interference games,” IEEE Transactions on Automatic Control
2018
Closest in time.