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: "how much spectrum is too much in millimeter wave wireless access"
  Abstract: Great increase in wireless access rates might be attainable using the large amount of spectrum available in the millimeter wave (mmWave) band. However, higher propagation losses inherent in these frequencies must be addressed, especially at ranges beyond 100 m and in non-line-of-sight (NLOS) settings. In contrast to the interference limited legacy cellular systems, where using more bandwidth is favorable, to use wider bandwidth for mmWave channels in noise limited settings may be ineffective or even counterproductive when accounting for channel estimation penalty. In this paper, we quantify the maximum beneficial bandwidth for mmWave transmission in some typical deployment scenarios where pilot-based channel estimation penalty is considered assuming a minimum mean square error channel estimator at the receiver. We find that, under I.I.D. block fading model with coherence time    $T_{c}$    and coherence bandwidth    $B_{c}$   , for transmitters and receivers equipped with a single antenna, the optimal (rate maximizing) signal-to-noise-ratio is a constant that only depends on the product    $B_{c}T_{c}$   , which measures the channel coherence and equals the average number of orthogonal symbols per each independent channel coefficient. That is, for fixed channel coherence    $B_{c}T_{c}$   , the optimal bandwidth scales linearly with the received signal power. Under 3GPP urban micro NLOS path loss model with coherence time    $T_{c}=5$    ms and coherence bandwidth    $B_{c}=10$    MHz, using 52-dBm equivalent isotropic radiated power (EIRP) at the transmitter and 11-dBi antenna gain at the receiver, the maximum beneficial bandwidth at 28 (resp. 39) GHz is less than 1 GHz at a distance beyond 210 (resp. 170) m with maximum throughput about 200 Mbps, and less than 100 MHz beyond 400 (resp. 310) m with maximum throughput about 20 Mbps. At EIRP of 85 dBm, corresponding to the FCC limit of 75 dBm per 100 MHz, 1 Gbps rate can be delivered using 1-GHz bandwidth up to 860 (resp. 680) m.

Connected through hyperedge HE-1 (induced by source paper "suburban fixed wireless access channel measurements and models at 28 ghz for 90 outdoor coverage"):
  with members:
    - "suburban residential building penetration loss at 28 ghz for fixed wireless access"
    - "path loss beamforming gain and time dynamics measurements at 28 ghz for 90 indoor coverage"
    - "28 ghz microcell measurement campaign for residential environment"
    - "small scale local area and transitional millimeter wave propagation for 5g communications"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "stationarity region of mm wave channel based on outdoor microcellular measurements at 28 ghz"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

Connected through hyperedge HE-2 (induced by source paper "capacity scaling in a non coherent wideband massive simo block fading channel"):
  with members:
    - "massive mimo has unlimited capacity"
    - "unified capacity limit of non coherent wideband fading channels"
    - "massive mimo ten myths and one critical question"
    - "energy based modulation for noncoherent massive simo systems"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "low snr capacity of noncoherent fading channels"
    - "capacity of sparse multipath channels in the ultra wideband regime"

Connected through hyperedge HE-3 (induced by source paper "matching in the air optimal analog beamforming under angular spread"):
  with members:
    - "suburban fixed wireless access channel measurements and models at 28 ghz for 90 outdoor coverage"
    - "path loss beamforming gain and time dynamics measurements at 28 ghz for 90 indoor coverage"
    - "small scale local area and transitional millimeter wave propagation for 5g communications"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "gbps user rates using mmwave relayed backhaul with high gain antennas"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"

Connected through hyperedge HE-4 (induced by source paper "directional frame timing synchronization in wideband millimeter wave systems with low resolution adcs"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "mimo beampattern and waveform design with low resolution dacs"
    - "fast and reliable initial access with random beamforming for mmwave networks"
    - "two dimensional aod and aoa acquisition for wideband millimeter wave systems with dual polarized mimo"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "a low complexity detection algorithm for the primary synchronization signal in lte"
    - "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs"

Connected through hyperedge HE-5 (induced by source paper "detection for 5g noma an online adaptive machine learning approach"):
  with members:
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "noma in 5g systems exciting possibilities for enhancing spectral efficiency"
    - "non orthogonal multiple access in multi cell networks theory performance and practical challenges"
    - "adaptive learning in cartesian product of reproducing kernel hilbert spaces"

Connected through hyperedge HE-6 (induced by source paper "gbps user rates using mmwave relayed backhaul with high gain antennas"):
  with members:
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave beamforming for wireless backhaul and access in small cell networks"
    - "optimal resource allocation and relay selection in bandwidth exchange based cooperative forwarding"

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)