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 "suburban fixed wireless access channel measurements and models at 28 ghz for 90 outdoor coverage"):
  Abstract: Achieving adequate coverage with high gain antennas is key to realizing the full promise of the wide bandwidth available at centimeter/millimeter bands. We report extensive outdoor measurements at 28 GHz in suburban residential areas in New Jersey and Chile, with over 2000 links measured for the same-street link types [vegetation blocked line of sight (LOS)] from 13 streets and other-street link types [true non-LOS (NLOS)] from 7 streets, using a specialized narrowband channel sounder at ranges reaching 200 m. The measurements, applicable to fixed wireless access, involved a 55° transmit antenna placed on the exterior of a street-facing window and a 10° receive horn antenna spinning on top of a van mast at 3 m height, emulating a lamppost-mounted base station (BS). The measured path gain-distance dependence is well represented by power-law models, and azimuth gains at the base are degraded through scattering by more than 4.3 dB for 10% of links. It was found that, with 51 dBm effective isotropic radiated power (EIRP) at the BS and 11 dBi antenna at an outdoor- mounted terminal, 1 Gb/s downlink rate can be delivered up to 100 m from a BS deployed in the same street with 90% coverage guarantee.

Includes members:
  Member "suburban residential building penetration loss at 28 ghz for fixed wireless access":
    also connected through other hyperedges:
      (none)
  Member "path loss beamforming gain and time dynamics measurements at 28 ghz for 90 indoor coverage":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "matching in the air optimal analog beamforming under angular spread")
  Member "28 ghz microcell measurement campaign for residential environment":
    also connected through other hyperedges:
      (none)
  Member "how much spectrum is too much in millimeter wave wireless access":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "capacity scaling in a non coherent wideband massive simo block fading channel")
  Member "small scale local area and transitional millimeter wave propagation for 5g communications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "real time deployment aspects of c band and millimeter wave 5g nr systems")
  Member "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "path loss and directional gain measurements at 28 ghz for non line of sight coverage of indoors with corridors")
  Member "gbps user rates using mmwave relayed backhaul with high gain antennas":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint path selection and rate allocation framework for 5g self backhauled mm wave networks")
  Member "stationarity region of mm wave channel based on outdoor microcellular measurements at 28 ghz":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "real time deployment aspects of c band and millimeter wave 5g nr systems")

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)