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: "base station diversity propagation measurements at 73 ghz millimeter wave for 5g coordinated multipoint comp analysis"
  Abstract: This paper describes wideband (1 GHz) base station diversity and coordinated multipoint (CoMP)-style large-scale measurements at 73 GHz in an urban microcell open square scenario in downtown Brooklyn, New York on the NYU campus. The measurements consisted of ten random receiver locations at pedestrian level (1.4 meters) and ten random transmitter locations at lamppost level (4.0 meters) that provided 36 individual transmitter-receiver (TX-RX) combinations. For each of the 36 radio links, extensive directional measurements were made to give insights into small-cell base station diversity at millimeter-wave (mmWave) bands. High-gain steerable horn antennas with 7-degree and 15-degree half-power beamwidths (HPBW) were used at the transmitter (TX) and receiver (RX), respectively. For each TX-RX combination, the TX antenna was scanned over a 120-degree sector and the RX antenna was scanned over the entire azimuth plane at the strongest RX elevation plane and two other elevation planes on both sides of the strongest elevation angle, separated by the 15-degree HPBW. Directional and omnidirectional path loss models were derived and match well with the literature. Signal reception probabilities derived from the measurements for one to five base stations that served a single RX location show significant coverage improvement over all potential beamformed RX antenna pointing angles. CDFs for nearest neighbor and Best-N omnidirectional path loss and cell outage probabilities for directional antennas provide insights into coverage and interference for future mmWave small-cells that will exploit macro-diversity and CoMP.

Connected through hyperedge HE-1 (induced by source paper "joint relaying and spatial sharing multicast scheduling for mmwave networks"):
  with members:
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "multicast transmissions in directional mmwave communications"
    - "connectivity of millimeter wave networks with multi hop relaying"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-2 (induced by source paper "deep learning coordinated beamforming for highly mobile millimeter wave systems"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "position aided beam alignment for millimeter wave backhaul systems with large phased arrays"
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "intra cluster characteristics of 28 ghz wireless channel in urban micro street canyon"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "channel estimation for hybrid architecture based wideband millimeter wave systems"
    - "millimeter wave location based beamforming using compressive sensing"

Connected through hyperedge HE-3 (induced by source paper "integration of carrier aggregation and dual connectivity for the ns 3 mmwave module"):
  with members:
    - "statistical blockage modeling and robustness of beamforming in millimeter wave systems"
    - "end to end simulation of 5g mmwave networks"
    - "tcp in 5g mmwave networks link level retransmissions and mp tcp"
    - "reliable video streaming over mmwave with multi connectivity and network coding"
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "ns 3 implementation of the 3gpp mimo channel model for frequency spectrum above 6 ghz"
    - "performance comparison of dual connectivity and hard handover for lte 5g tight integration"
    - "a framework for end to end evaluation of 5g mmwave cellular networks in ns 3"

Connected through hyperedge HE-4 (induced by source paper "machine learning for reliable mmwave systems blockage prediction and proactive handoff"):
  with members:
    - "deep learning coordinated beamforming for highly mobile millimeter wave systems"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "adam a method for stochastic optimization"
    - "on the properties of neural machine translation encoder decoder approaches"

Connected through hyperedge HE-5 (induced by source paper "position locationing for millimeter wave systems"):
  with members:
    - "propagation measurement system and approach at 140 ghz moving to 6g and above 100 ghz"
    - "initial access in 5g mmwave cellular networks"
    - "millimeter wave distance dependent large scale propagation measurements and path loss models for outdoor and indoor 5g systems"
    - "28 ghz and 73 ghz millimeter wave indoor propagation measurements and path loss models"

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.IT(Information Theory)