Fetching the paper…
Reading the bibliography…
Learning optimal resource allocation policies in wireless systems can be effectively achieved by formulating finite dimensional constrained programs which depend on system configuration, as well as the adopted learning parameterization.
K. Hornik, M. Stinchcombe, and H. White, “Multilayer feedforward networks are universal approximators,” Neural Networks , vol. 2, no. 5, pp. 359–366, 1989
1989
Earlier work this paper cites.
J. Park and I. W. Sandberg, “Universal approximation using radial-basis-function networks,” Neural Computation , vol. 3, no. 2, pp. 246–257, Jun. 1991
1991
Earlier work this paper cites.
R. B. Ash and C. Doléans-Dade, Probability and Measure Theory . Academic Press, 2000
2000
Earlier work this paper cites.
H. J. H. J. Kushner and G. Yin, Stochastic Approximation and Recursive Algorithms and Applications . Springer, 2003
2003
Earlier work this paper cites.
J. C. Spall, Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control . Wiley-Interscience, 2003
2003
Earlier work this paper cites.
S. P. Boyd and L. Vandenberghe, Convex Optimization . Cambridge University Press, 2004
2004
Earlier work this paper cites.
Wei Yu and R. Lui, “Dual methods for nonconvex spectrum optimization of multicarrier systems,” IEEE Transactions on Communications , vol. 54, no. 7, pp. 1310–1322, Jul. 2006
2006
Earlier work this paper cites.
J. Zhang and D. Zheng, “A stochastic primal-dual algorithm for joint flow control and mac design in multi-hop wireless networks,” in 2006 40th Annual Conference on Information Sciences and Systems . IEEE, Mar. 2006, pp. 339–344
2006
Earlier work this paper cites.
N. Sidiropoulos, T. Davidson, and Zhi-Quan Luo, “Transmit beamforming for physical-layer multicasting,” IEEE Transactions on Signal Processing , vol. 54, no. 6, pp. 2239–2251, Jun. 2006
2006
Earlier work this paper cites.
A. P. Ruszczyński, Nonlinear Optimization . Princeton University Press, 2006
2006
Earlier work this paper cites.
J.-A. Bazerque and G. B. Giannakis, “Distributed scheduling and resource allocation for cognitive ofdma radios,” in 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications . IEEE, Aug. 2007, pp. 343–350
2007
Earlier work this paper cites.
D. P. Bertsekas, Convex optimization theory , 1st ed. Athena Scientific, 2009
2009
Earlier work this paper cites.
X. Wang and N. Gao, “Stochastic resource allocation over fading multiple access and broadcast channels,” IEEE Transactions on Information Theory , vol. 56, no. 5, pp. 2382–2391, May 2010
2010
Earlier work this paper cites.
B. K. Sriperumbudur, K. Fukumizu, and G. R. G. Lanckriet, “On the relation between universality , characteristic kernels and rkhs embedding of measures,” in 13th Intern. Conf. Artificial Intelligence and Statistics , no. 9, Mar. 2010, pp. 773–780
2010
Earlier work this paper cites.
C. S. Chen, K. W. Shum, and C. W. Sung, “Round-robin power control for the weighted sumrate maximisation of wireless networks over multiple interfering links,” European Transactions on Telecommunications , vol. 22, no. 8, pp. 458–470, Dec. 2011
2011
Earlier work this paper cites.
Yichuan Hu and A. Ribeiro, “Adaptive distributed algorithms for optimal random access channels,” IEEE Transactions on Wireless Communications , vol. 10, no. 8, pp. 2703–2715, Aug. 2011
2011
Earlier work this paper cites.
X. Wang and G. B. Giannakis, “Resource allocation for wireless multiuser ofdm networks,” IEEE Transactions on Information Theory , vol. 57, no. 7, pp. 4359–4372, Jul. 2011
2011
Cited alongside, same era.
Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, “An iteratively weighted mmse approach to distributed sum-utility maximization for a mimo interfering broadcast channel,” IEEE Transactions on Signal Processing , vol. 59, no. 9, pp. 4331–4340, Sep. 2011
2011
Cited alongside, same era.
W. B. Powell, Approximate Dynamic Programming: Solving the Curses of Dimensionality , 2nd ed. Wiley-Interscience, 2011
2011
Cited alongside, same era.
A. Ribeiro, “Optimal resource allocation in wireless communication and networking,” EURASIP Journal on Wireless Communications and Networking , vol. 2012, no. 1, p. 272, 2012
2012
Cited alongside, same era.
A. S. Bedi and K. Rajawat, “Asynchronous incremental stochastic dual descent algorithm for network resource allocation,” IEEE Transactions on Signal Processing , vol. 66, no. 9, pp. 2229–2244, May 2018
2018
Later among the works it cites.
——, “Network resource allocation via stochastic subgradient descent: Convergence rate,” IEEE Transactions on Communications , vol. 66, no. 5, pp. 2107–2121, May 2018
2018
Later among the works it cites.
K. Gatsis, A. Ribeiro, and G. J. Pappas, “Random access design for wireless control systems,” Automatica , vol. 91, pp. 1–9, May 2018
2018
Later among the works it cites.
H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, and N. D. Sidiropoulos, “Learning to optimize: Training deep neural networks for interference management,” IEEE Transactions on Signal Processing , vol. 66, no. 20, pp. 5438–5453, Oct. 2018
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Hu and A. Ribeiro, “Optimal wireless networks based on local channel state information,” IEEE Transactions on Signal Processing , vol. 60, no. 9, pp. 4913–4929, Sep. 2012
2012
Cited alongside, same era.
D. Wang, Z. Li, and X. Wang, “Joint optimal subcarrier and power allocation for wireless cooperative networks over ofdm fading channels,” in IEEE Transactions on Vehicular Technology , vol. 61, no. 1, Jan. 2012, pp. 249–257
2012
Cited alongside, same era.
D. Bertsekas, Dynamic Programming & Optimal Control , 4th ed. Belmont, Massachusetts: Athena Scientific, 2012, vol. II
2012
Cited alongside, same era.
X. Wu, S. Tavildar, S. Shakkottai, T. Richardson, J. Li, R. Laroia, and A. Jovicic, “Flashlinq: A synchronous distributed scheduler for peer-to-peer ad hoc networks,” IEEE/ACM Transactions on Networking , vol. 21, no. 4, pp. 1215–1228, Aug. 2013
2013
Cited alongside, same era.
N. Naderializadeh and A. S. Avestimehr, “Itlinq: A new approach for spectrum sharing in device-to-device communication systems,” IEEE Journal on Selected Areas in Communications , vol. 32, no. 6, pp. 1139–1151, Jun. 2014
2014
Cited alongside, same era.
T. He, X. Wang, and W. Ni, “Optimal chunk-based resource allocation for ofdma systems with multiple ber requirements,” IEEE Transactions on Vehicular Technology , vol. 63, no. 9, pp. 4292–4301, Nov. 2014
2014
Cited alongside, same era.
K. Gatsis, M. Pajic, A. Ribeiro, and G. J. Pappas, “Opportunistic control over shared wireless channels,” IEEE Transactions on Automatic Control , vol. 60, no. 12, pp. 3140–3155, Dec. 2015
2015
Cited alongside, same era.
J. Rubio, O. Muñoz-Medina, A. Pascual-Iserte, and J. Vidal, “Stochastic resource allocation with a backhaul constraint for the uplink,” in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC . IEEE, Sep. 2016, pp. 1–6
2016
Cited alongside, same era.
W. Lee, M. Kim, and D.-H. Cho, “Deep power control: Transmit power control scheme based on convolutional neural network,” IEEE Communications Letters , vol. 22, no. 6, pp. 1276–1279, Jun. 2018
2018
Later among the works it cites.
P. de Kerret, D. Gesbert, and M. Filippone, “Team deep neural networks for interference channels,” in 2018 IEEE International Conference on Communications Workshops (ICC Workshops) . IEEE, May 2018, pp. 1–6
2018
Later among the works it cites.
2018
Later among the works it cites.
R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction , 2nd ed. MIT Press, 2018
2018
Later among the works it cites.
M. Eisen, K. Gatsis, G. J. Pappas, and A. Ribeiro, “Learning in wireless control systems over nonstationary channels,” IEEE Transactions on Signal Processing , vol. 67, no. 5, pp. 1123–1137, Mar. 2019
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
W. Cui, K. Shen, and W. Yu, “Spatial deep learning for wireless scheduling,” IEEE Journal on Selected Areas in Communications , vol. 37, no. 6, pp. 1248–1261, Dec. 2019
2019
Closest in time.
2019
Closest in time.
M. Eisen, C. Zhang, L. F. Chamon, D. D. Lee, and A. Ribeiro, “Learning optimal resource allocations in wireless systems,” IEEE Transactions on Signal Processing , vol. 67, no. 10, pp. 2775–2790, May 2019
2019
Closest in time.
2019
Closest in time.
W. B. Powell, “A unified framework for stochastic optimization,” pp. 795–821, Jun. 2019. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0377221718306192
2019
Closest in time.