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: "in building wideband partition loss measurements at 2 5 and 60 ghz"
  Abstract: This paper contains measured data and empirical models for 2.5 and 60 GHz in-building propagation path loss and multipath delay spread. Path loss measurements were recorded using a broadband sliding correlator channel sounder which recorded over 39000 power delay profiles (PDPs) in 22 separate locations in a modern office building. Transmitters and receivers were separated by distances ranging from 3.5 to 27.4 m and were separated by a variety of obstructions, in order to create realistic environments for future single-cell-per-room wireless networks. Path loss data is coupled with site-specific information to provide insight into channel characteristics. These measurements and models may aid in the development of future in-building wireless networks in the unlicensed 2.4 and 60 GHz bands.

Connected through hyperedge HE-1 (induced by source paper "measurement characterization and modeling of lora technology in multi floor buildings"):
  with members:
    - "realistic indoor path loss modeling for regular wifi operations in india"
    - "lorawan in the wild measurements from the things network"

Connected through hyperedge HE-2 (induced by source paper "a first measurement study of commercial mmwave 5g performance on smartphones"):
  with members:
    - "initial access in 5g mmwave cellular networks"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"

Connected through hyperedge HE-3 (induced by source paper "beam discovery using linear block codes for millimeter wave communication networks"):
  with members:
    - "agile millimeter wave networks with provable guarantees"
    - "millimeter wave mimo channel estimation based on adaptive compressed sensing"
    - "linear block coding for efficient beam discovery in millimeter wave communication networks"
    - "efficient beam alignment in millimeter wave systems using contextual bandits"
    - "a compressive channel estimation technique robust to synchronization impairments"
    - "millimeter wave mimo channel estimation using overlapped beam patterns and rate adaptation"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"

Connected through hyperedge HE-4 (induced by source paper "benefits of mobile end user network switching and multihoming"):
  with members:
    - "multidevice mobile sessions a first look"
    - "exploiting the power of multiplicity a holistic survey of network layer multipath"

Connected through hyperedge HE-5 (induced by source paper "the connectivity of millimeter wave networks in urban environments modeled using random lattices"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "beam based stochastic model of the coverage probability in 5g millimeter wave systems"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "connectivity scaling laws in wireless networks"
    - "path loss shadow fading and line of sight probability models for 5g urban macro cellular scenarios"
    - "how does mobility affect the connectivity of interference limited ad hoc networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "linear block coding for efficient beam discovery in millimeter wave communication networks"):
  with members:
    - "agile millimeter wave networks with provable guarantees"
    - "millimeter wave mimo channel estimation based on adaptive compressed sensing"
    - "a compressive channel estimation technique robust to synchronization impairments"
    - "millimeter wave mimo channel estimation using overlapped beam patterns and rate adaptation"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "compressed sensing for wireless communications useful tips and tricks"
    - "compressed sensing based multi user millimeter wave systems how many measurements are needed"

Connected through hyperedge HE-7 (induced by source paper "agile millimeter wave networks with provable guarantees"):
  with members:
    - "phase retrieval an overview of recent developments"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "nearly optimal sparse fourier transform"
    - "coding the beams improving beamforming training in mmwave communication system"
    - "1 eps approximate sparse recovery"
    - "lower bounds for sparse recovery"

Connected through hyperedge HE-8 (induced by source paper "indoor office wideband penetration loss measurements at 73 ghz"):
  with members:
    - "a flexible wideband millimeter wave channel sounder with local area and nlos to los transition measurements"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

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)