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: "coverage and handoff analysis of 5g fractal small cell networks"
  Abstract: It is anticipated that much higher network capacity will be achieved by the fifth generation (5G) small cell networks incorporated with the millimeter wave (mmWave) technology. However, mmWave signals are more sensitive to blockages than signals in lower frequency bands, which highlights the effect of anisotropic path loss in network coverage. According to the fractal characteristics of cellular coverage, a multi-directional path loss model is proposed for 5G small cell networks, where different directions are subject to different path loss exponents. Furthermore, the coverage probability, association probability, and the handoff probability are derived for 5G fractal small cell networks based on the proposed multi-directional path loss model. Numerical results indicate that the coverage probability with the multi-directional path loss model is less than that with the isotropic path loss model, and the association probability with long link distance, e.g., 150m, increases obviously with the increase of the effect of anisotropic path loss in 5G fractal small cell networks. Moreover, it is observed that the anisotropic propagation environment is having a profound impact on the handoff performance. Meanwhile, we could conclude that the resulting heavy handoff overhead is emerging as a new challenge for 5G fractal small cell networks.

Connected through hyperedge HE-1 (induced by source paper "ultra reliable low latency communications in autonomous vehicular networks"):
  with members:
    - "joint optimization of computation and communication power in multi user massive mimo systems"
    - "5g software defined vehicular networks"
    - "software defined space air ground integrated vehicular networks challenges and solutions"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "dense small cell networks from noise limited to dense interference limited"
    - "vehicular communications for 5g cooperative small cell networks"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "from network sharing to multi tenancy the 5g network slice broker"

Connected through hyperedge HE-2 (induced by source paper "a new small world iot routing mechanism based on cayley graphs"):
  with members:
    - "ultra reliable low latency communications in autonomous vehicular networks"
    - "tradeoff between delay and physical layer security in wireless networks"
    - "joint optimization of computation and communication power in multi user massive mimo systems"
    - "cache aided non orthogonal multiple access"
    - "toward a tractable delay analysis in ultra dense networks"
    - "energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption"
    - "capacity analysis of a multi cell multi antenna cooperative cellular network with co channel interference"
    - "throughput delay reliability tradeoff with arq in wireless ad hoc networks"

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)