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 "online time sharing policy in energy harvesting cognitive radio network with channel uncertainty"):
  Abstract: This paper considers an energy harvesting underlay cognitive radio network operating in a slotted fashion. The secondary transmitter scavenges energy from environmental sources in half duplex fashion and stores it in finite capacity rechargeable battery. It splits each slot into two phases: harvesting phase and transmission phase. We model the energy availability at the secondary user as first order stationary Markov process. We propose a robust online transmission policy by jointly optimizing the time sharing between the two phases and transmit power of secondary user, which maximizes its average throughput by a given time deadline.We show the comparison of our proposed policy with the offline and myopic policies.

Includes members:
  Member "end to end throughput maximization for underlay multi hop cognitive radio networks with rf energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "simultaneous wireless information and power transfer for decode and forward multihop relay systems in energy constrained iot networks")
  Member "on optimal offline time sharing policy for energy harvesting underlay cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "harvest or transmit policy for cognitive radio networks a learning theoretic approach")
  Member "optimal time sharing in underlay cognitive radio systems with rf energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sense and predict harnessing spatial interference correlation for cognitive radio networks")
  Member "outage analysis of spectrum sharing energy harvesting cognitive relays in nakagami m channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "outage analysis for swipt enabled two way cognitive cooperative communications")
  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 "a learning theoretic approach to energy harvesting communication system optimization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on machine learning based performance improvement of wireless networks phy mac and network layer")
  Member "optimal utilization of a cognitive shared channel with a rechargeable primary source node":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "wireless network level partial relay cooperation a stable throughput analysis")

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)