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 "joint transmission and energy transfer policies for energy harvesting devices with finite batteries"):
  Abstract: One of the main concerns in traditional wireless sensor networks (WSNs) is energy efficiency. In this work, we analyze two techniques that can extend network lifetime. The first is ambient  energy harvesting  (EH),  i.e. , the capability of the devices to gather energy from the environment, whereas the second is wireless  energy transfer  (ET), that can be used to exchange energy among devices. We study the combination of these techniques, showing that they can be used jointly to improve the system performance. We consider a transmitter–receiver pair, showing how the ET improvement depends upon the statistics of the energy arrivals and the energy consumption of the devices. With the aim of maximizing a reward function,  e.g. , the average transmission rate, we find performance upper bounds with and without ET, define both online and offline optimization problems, and present results based on realistic energy arrivals in indoor and outdoor environments. We show that ET can significantly improve the system performance even when a sizable fraction of the transmitted energy is wasted and that, in some scenarios, the online approach can obtain close to optimal performance.

Includes members:
  Member "energy harvesting communication system with soc dependent energy storage losses":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the effects of battery imperfections in an energy harvesting device")
  Member "energy harvesting wireless communications a review of recent advances":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analysis of d2d communication with rf energy harvesting and interference management")
  Member "beamforming for miso interference channels with qos and rf energy transfer":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "specific absorption rate aware beamforming in miso downlink swipt systems")
  Member "energy cooperation in energy harvesting communications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "transmission delay minimization in wireless powered communication systems")
  Member "impact of mobile transmitter sources on radio frequency wireless energy harvesting":
    also connected through other hyperedges:
      (none)
  Member "optimal energy management policies for energy harvesting sensor nodes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "achievable rate of multi antenna wsrns with eh constraint in the presence of a jammer")
  Member "efficient energy management policies for networks with energy harvesting sensor nodes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "kalman prediction based proportional fair resource allocation for a solar powered wireless downlink")

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)