human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "multiuser wireless power transfer via magnetic resonant coupling performance analysis charging control and power region characterization"
  Abstract: Magnetic resonant coupling (MRC) is an efficient method for realizing the near-field wireless power transfer (WPT). Although the MRC-enabled WPT (MRC-WPT) with a single pair of transmitter and receiver has been thoroughly studied in the literature, there is limited work on the general setup with multiple transmitters and/or receivers. In this paper, we consider a point-to-multipoint MRC-WPT system with one transmitter delivering wireless power to a set of distributed receivers. We aim to introduce new applications of signal processing and optimization techniques to the performance characterization and optimization in multiuser WPT via MRC. We first derive closed-form expressions for the power drawn from the energy source at the transmitter and that delivered to the load at each receiver. We identify a “near-far” fairness issue in multiuser power transmission due to receivers' distance-dependent mutual inductance with the transmitter. To tackle this issue, we propose a centralized charging control algorithm to jointly optimize the receivers' load resistance to minimize the total transmitter power drawn while meeting the given power requirement of each individual load. For ease of practical implementation, we also devise a distributed algorithm for the receivers to adjust their load resistance independently in an iterative manner. Last, we characterize the power region that constitutes all the achievable power-tuples of the loads via controlling their adjustable resistance. In particular, we compare the power regions without versus with the time sharing of users' power transmission, where it is shown that time sharing yields a larger power region in general. Extensive simulation results are provided to validate our analysis and corroborate our study on the multiuser MRC-WPT system.

Connected through hyperedge HE-1 (induced by source paper "waveform optimization for radio frequency wireless power transfer"):
  with members:
    - "on the feasibility of wireless energy transfer using massive antenna arrays"
    - "waveform design for wireless power transfer"
    - "distributed charging control in broadband wireless power transfer networks"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "throughput optimization for massive mimo systems powered by wireless energy transfer"
    - "energy beamforming with one bit feedback"
    - "optimized training design for wireless energy transfer"
    - "throughput maximization in wireless powered communication networks"

Connected through hyperedge HE-2 (induced by source paper "magnetic mimo signal processing and optimization for wireless power transfer"):
  with members:
    - "waveform design for wireless power transfer"
    - "a general design framework for mimo wireless energy transfer with limited feedback"
    - "on the efficiency of far field wireless power transfer"
    - "energy beamforming with one bit feedback"
    - "multiuser miso beamforming for simultaneous wireless information and power transfer"
    - "wireless information and energy transfer in multi antenna interference channel"
    - "dynamic resource allocation for multiple antenna wireless power transfer"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-3 (induced by source paper "node placement and distributed magnetic beamforming optimization for wireless power transfer"):
  with members:
    - "magnetic beamforming for wireless power transfer"
    - "wireless powered communication networks an overview"
    - "beamforming for magnetic induction based wireless power transfer systems with multiple receivers"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)