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: "stability analysis of slotted aloha with opportunistic rf energy harvesting"
  Abstract: Energy harvesting (EH) is a promising technology for realizing energy efficient wireless networks. In this paper, we utilize the ambient RF energy, particularly interference from neighboring transmissions, to replenish the batteries of the EH enabled nodes. However, RF energy harvesting imposes new challenges into the analysis of wireless networks. Our objective in this work is to investigate the performance of a slotted Aloha random access wireless network consisting of two types of nodes, namely Type I which has unlimited energy supply and Type II which is solely powered by an RF energy harvesting circuit. The transmissions of a Type I node are recycled by a Type II node to replenish its battery. We characterize an inner bound on the stable throughput region under half-duplex and full-duplex energy harvesting paradigms as well as for the finite capacity battery case. We present numerical results that validate our analytical results, and demonstrate their utility for the analysis of the exact system.

Connected through hyperedge HE-1 (induced by source paper "channel sensing and communication over a time correlated channel with an energy harvesting transmitter"):
  with members:
    - "energy harvesting wireless networks with correlated energy sources"
    - "distributed opportunistic scheduling for energy harvesting based wireless networks a two stage probing approach"
    - "optimization of energy harvesting miso communication system with feedback"
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "universally near optimal online power control for energy harvesting nodes"
    - "data driven stochastic models and policies for energy harvesting sensor communications"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"

Connected through hyperedge HE-2 (induced by source paper "proportional fairness in aloha networks with rf energy harvesting"):
  with members:
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "wireless powered communication opportunities and challenges"
    - "on the stability of random multiple access with stochastic energy harvesting"
    - "throughput maximization in wireless powered communication networks"
    - "asymptotically optimal power allocation for energy harvesting communication networks"
    - "medium access control protocols for wireless sensor networks with energy harvesting"
    - "optimal energy management policies for energy harvesting sensor nodes"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-3 (induced by source paper "a stochastic geometry analysis of large scale cooperative wireless networks powered by energy harvesting"):
  with members:
    - "millimeter wave energy harvesting"
    - "on the stability of random multiple access with stochastic energy harvesting"
    - "energy harvesting wireless communications a review of recent advances"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "simultaneous information and energy transfer in large scale networks with without relaying"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"

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.NI(Networking and Internet Architecture)