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For the past couple of decades, numerical optimization has played a central role in addressing wireless resource management problems such as power control and beamformer design.
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S. Verdu, · 1998
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“Distributed multiuser power control for digital subscriber lines,”
W. Yu, G. Ginis, and J. M. Cioffi, · 2002
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“FDMA capacity of Gaussian multiple-access channel with isi,”
W. Yu and J. M. Cioffi, · 2002
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“Experimental evaluation of capacity statistics for short VDSL loops,”
E. Karipidis, N. Sidiropoulos, A. Leshem, and L. Youming, · 2005
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“Crosstalk models for short VDSL2 lines from measured 30mhz data,”
E. Karipidis, N. Sidiropoulos, A. Leshem, L. Youming, R. Tarafi, and M. Ouzzif, · 2006
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“Optimal linear precoding strategies for wideband noncooperative systems based on game theory – part I: Nash equilibria,”
G. Scutari, D. P. Palomar, and S. Barbarossa, · 2008
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“Convex approximation techniques for joint multiuser downlink beamforming and admission control,”
E. Matskani, N. Sidiropoulos, Z.-Q. Luo, and L. Tassiulas, · 2008
Earlier work this paper cites.
“Dynamic spectrum management: Complexity and duality,”
Z-.Q. Luo and S. Zhang, · 2008
Earlier work this paper cites.
“Distributed resource allocation schemes,”
D. Schmidt, C. Shi, R. Berry, M. Honig, and W. Utschick, · 2009
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“SCALE: A low-complexity distributed protocol for spectrum balancing in multiuser DSL networks,”
J. Papandriopoulos and J. S. Evans, · 2009
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“A fast iterative shrinkage-thresholding algorithm for linear inverse problems,”
A. Beck and M. Teboulle, · 2009
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“Semidefinite relaxation of quadratic optimization problems,”
Z.-Q. Luo, W.-K. Ma, A.M.-C. So, Y. Ye, and S. Zhang, · 2010
Cited alongside, same era.
“Learning fast approximations of sparse coding,”
K. Gregor and Y. LeCun, · 2010
Cited alongside, same era.
“Understanding the difficulty of training deep feedforward neural networks.,”
X. Glorot and Y. Bengio, · 2010
Cited alongside, same era.
“An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,”
Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, · 2011
Cited alongside, same era.
“Optimal resource allocation for MIMO Ad Hoc Cognitive Radio Networks,”
S.-J. Kim and G. B. Giannakis, · 2011
Cited alongside, same era.
“Lecture 6a overview of mini–batch gradient descent,”
G. Hinton, N. Srivastava, and K. Swersky, · 2012
“Base station activation and linear transceiver design for optimal resource management in heterogeneous networks,”
W.-C. Liao, M. Hong, Y.-F. Liu, and Z.-Q. Luo, · 2014
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“Deep learning,”
Y. LeCun, Y. Bengio, and G. Hinton, · 2015
Later among the works it cites.
“Learning to learn by gradient descent by gradient descent,”
M. Andrychowicz, M. Denil, S. Gomez, M. Hoffman, D. Pfau, T. Schaul, and N. de Freitas, · 2016
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K. Li and J. Malik, · 2016
Later among the works it cites.
“Recurrent neural radio anomaly detection,”
T. J. O’Shea, T. C. Clancy, and R. McGwier, · 2016
Later among the works it cites.
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Cited alongside, same era.
“Signal processing and optimal resource allocation for the interference channel,”
M. Hong and Z.-Q. Luo, · 2013
Cited alongside, same era.
“Optimal resource allocation in coordinated multi-cell systems,”
E. Bjornson and E. Jorswieck, · 2013
Cited alongside, same era.
“Joint power and admission control via linear programming deflation,”
Y.-F Liu, Y.-H. Dai, and Z.-Q. Luo, · 2013
Cited alongside, same era.
“Joint base station clustering and beamformer design for partial coordinated transmission in heterogenous networks,”
M. Hong, R. Sun, H. Baligh, and Z.-Q. Luo, · 2013
Cited alongside, same era.
“Supervised sparse analysis and synthesis operators,”
P. Sprechmann, R. Litman, T. B. Yakar, A. M. Bronstein, and G. Sapiro, · 2013
Cited alongside, same era.
“Cross-layer provision of future cellular networks: A WMMSE-based approach,”
H. Baligh, M. Hong, W.-C. Liao, Z.-Q. Luo, M. Razaviyayn, M. Sanjabi, and R. Sun, · 2014
Cited alongside, same era.
J. D. Lee, M. Simchowitz, M. I. Jordan, and B. Recht, · 2016
Later among the works it cites.
“Learning to optimize: Training deep neural networks for wireless resource management,”
H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, and N. D. Sidiropoulos, · 2017
Closest in time.
“Detection algorithms for communication systems using deep learning,”
N. Farsad and A. Goldsmith, · 2017
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“Deep architectures for modulation recognition,”
N. E. West and T. J. O’Shea, · 2017
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“Deep learning based MIMO communications,”
T. J. O’Shea, T. Erpek, and T. C. Clancy, · 2017
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N. Samuel, T. Diskin, and A. Wiesel, · 2017
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“Why deep neural networks for function approximation?,”
S. Liang and R. Srikant, · 2017
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