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 "on energy cooperation in energy harvesting underlay cognitive radio network"):
  Abstract: In this paper, we consider an energy harvesting cognitive radio network (EH-CRN), where a primary and a secondary user coexist in underlay mode. Both the transmitters have energy harvesting capability and are equipped with finite capacity battery to store the harvested energy. In addition, the secondary user (SU) has an independent energy transfer unit such that it can transfer some portion of it's harvested energy to the primary user (PU). We obtain an optimal transmit power and energy transfer policy for single-slot and a suboptimal policy for multi-slot scenario maximizing the number of bits transmitted by SU under the primary sum-rate constraint in an offline setting. For both cases, the effect of energy cooperation on the system performance is studied and it is observed that energy cooperation results in higher SU throughput.

Includes members:
  Member "optimal time sharing in underlay cognitive radio systems with rf energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sense and predict harnessing spatial interference correlation for cognitive radio networks")
  Member "on information and energy cooperation in energy harvesting cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal harvest or transmit strategy for energy harvesting underlay cognitive radio network")
  Member "information and energy cooperation in cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy sustainable paradigms and methods for future mobile networks a survey")
  Member "energy harvesting cognitive radio with channel aware sensing strategy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "interference aided energy harvesting cognitive relaying with multiple primary transceivers")
  Member "wireless networks with rf energy harvesting a contemporary survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "on green energy powered cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "harvest or transmit policy for cognitive radio networks a learning theoretic approach")
  Member "cognitive energy harvesting and transmission from a network perspective":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on optimal offline time sharing policy for energy harvesting underlay cognitive radio")
  Member "optimal random access and random spectrum sensing for an energy harvesting cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "optimal spectrum access for a rechargeable cognitive radio user based on energy buffer state")

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)