human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "theory and experiment for wireless powered sensor networks how to keep sensors alive"):
  Abstract: In this paper, we investigate a multi-node multi-antenna wireless-powered sensor networks (WPSN) comprised of one power beacon and multiple sensor nodes. We have implemented a real-life multi-node multi-antenna WPSN testbed that operates in real time. We propose a beam-splitting beamforming technique that enables a power beacon to split microwave energy beams towards multiple nodes for simultaneous charging. We experimentally demonstrate that the beam-splitting beamforming technique achieves the Pareto optimality. For a perpetual operation of the sensor nodes, we adopt an energy neutral control algorithm that keeps a sensor node alive by balancing the harvested and the consumed power. The joint beam-splitting and energy neutral control algorithm is designed by means of the Lyapunov optimization technique. By experiments, we have shown that the proposed algorithm can successfully keep all sensor nodes alive by optimally splitting energy beams towards multiple sensor nodes.

Includes members:
  Member "experiment modeling and analysis of wireless powered sensor network for energy neutral power management":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "theory and experiment for wireless powered sensor networks how to keep multiple sensor nodes alive")
  Member "distributed charging control in broadband wireless power transfer networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reusing wireless power transfer for backscatter assisted relaying in wpcns")
  Member "adaptively directional wireless power transfer for large scale sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "big data analytics for large scale wireless networks challenges and opportunities")
  Member "communications and signals design for wireless power transmission":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "multiuser mimo wireless energy transfer with coexisting opportunistic communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "cognitive wireless power transfer in the presence of reactive primary communication user")
  Member "joint beamforming design for multi user wireless information and power transfer":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a retrodirective wireless power transfer scheme for ambient backscatter systems")
  Member "joint transmit beamforming and receive power splitting for miso swipt systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "random access based reliable uplink communication and power transfer using dynamic power splitting")
  Member "application of smart antenna technologies in simultaneous wireless information and power transfer":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "simultaneous wireless information and power transfer for decode and forward multihop relay systems in energy constrained iot networks")

Question: Please tell me which class the source paper 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.IT(Information Theory)