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: "outage analysis for swipt enabled two way cognitive cooperative communications"
  Abstract: In this correspondence paper, we study a cooperative cognitive radio network where the secondary user-transmitter (SU-Tx) assists bidirectional communication between a pair of primary users (PUs) following the principle of two-way relaying. In return, it gets access to the spectrum of the PUs to enable its own transmission to SU-receiver (SU-Rx). Furthermore, in order to support sustainable operation of the network, SU-Tx is assumed to harvest energy from the RF signals received from the PUs by using the technique of simultaneous wireless information and power transfer. Assuming a decode-and-forward behavior and power-splitting based relaying protocol at SU-Tx, closed-form expressions for outage probability of PU and SU are obtained. Simulation results validate our analytical results and illustrate spectrum-efficiency and energy-efficiency advantages of the proposed system over one-way relaying.

Connected through hyperedge HE-1 (induced by source paper "optimal combining and performance analysis for two way eh relay systems with tdbc protocol"):
  with members:
    - "heterogeneous power splitting based two way df relaying with non linear energy harvesting"
    - "energy efficient precoding design for swipt in mimo two way relay networks"
    - "simultaneous information and energy flow for iot relay systems with crowd harvesting"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-2 (induced by source paper "on the outage performance of swipt based three step two way df relay networks"):
  with members:
    - "simultaneous information and energy flow for iot relay systems with crowd harvesting"
    - "cooperative non orthogonal multiple access with simultaneous wireless information and power transfer"

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)