Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation [PDF]
IEEE Transactions on Wireless Communications, 2020 We study the problem of optimal power allocation in a single-hop ad hoc wireless network. In solving this problem, we depart from classical purely model-based approaches and propose a hybrid method that retains key modeling elements in conjunction with ...
Arindam Chowdhury +4 more
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Dynamic Power Allocation for Cell-Free Massive MIMO: Deep Reinforcement Learning Methods
IEEE Access, 2021 Power allocation plays a central role in cell-free (CF) massive multiple-input multiple-output (MIMO) systems. Many effective methods, e.g., the weighted minimum mean square error (WMMSE) algorithm, have been developed for optimizing the power allocation.
Yu Zhao, I. Niemegeers, S. de Groot
semanticscholar +1 more source
Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation, Phase Shifts, and Hybrid Beamforming Optimization [PDF]
IEEE Transactions on Wireless Communications, 2020 In this paper, a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) non-orthogonal multiple access (NOMA) system is analyzed. In particular, we consider an RIS-aided mmWave-NOMA downlink system with a hybrid beamforming structure. To
Yue Xiu +6 more
semanticscholar +1 more source
Efficient Downlink Power Allocation Algorithms for Cell-Free Massive MIMO Systems
IEEE Open Journal of the Communications Society, 2021 Cell-free Massive MIMO systems consist of a large number of geographically distributed access points (APs) that serve the users by coherent joint transmission.
Sucharita Chakraborty +3 more
semanticscholar +1 more source
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks [PDF]
IEEE Journal on Selected Areas in Communications, 2018 This work demonstrates the potential of deep reinforcement learning techniques for transmit power control in wireless networks. Existing techniques typically find near-optimal power allocations by solving a challenging optimization problem. Most of these
Yasar Sinan Nasir, Dongning Guo
semanticscholar +1 more source
The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment [PDF]
International Journal of Computational Intelligence Systems, 2015 In normal operation, doubly-fed induction generator (DFIG) can generate certain range of reactive power and the DFIG based wind farm can participate in reactive power control of grid as a reactive power supply.
Zengping Wang, Lefeng Zhang, Guohuang Li
doaj +1 more source
The Power of Two Choices in Graphical Allocation
SIAM Journal on Computing, 2022 The graphical balls-into-bins process is a generalization of the classical 2-choice balls-into-bins process, where the bins correspond to vertices of an arbitrary underlying graph $G$. At each time step an edge of $G$ is chosen uniformly at random, and a ball must be assigned to either of the two endpoints of this edge.
Nikhil Bansal, Ohad Feldheim
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Deep Learning Based Radio Resource Management in NOMA Networks: User Association, Subchannel and Power Allocation [PDF]
IEEE Transactions on Network Science and Engineering, 2020 With the rapid development of future wireless communication, the combination of NOMA technology and millimeter-wave(mmWave) technology has become a research hotspot.
Haijun Zhang +3 more
semanticscholar +1 more source
Deep Game of Escorting Suppressive Jamming and Networked Radar Power Allocation
Leida xuebao, 2023 The traditional networked radar power allocation is typically optimized with a given jamming model, while the jammer resource allocation is optimized with a given radar power allocation method; such research lack gaming and interaction.
Yuedong WANG +4 more
doaj +1 more source
The power allocation game on a network: a paradox [PDF]
IEEE/CAA Journal of Automatica Sinica, 2018 The well-known Braess paradox in congestion games states that adding an additional road to a transportation network may increase the total travel time, and consequently decrease the overall efficiency. Motivated by this, this paper presents a paradox in a similar spirit emerging from another distributed resource allocation game on networks, namely the ...
Yuke Li, A. Stephen Morse
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