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: "the potential of using large antenna arrays on intelligent surfaces"
  Abstract: In this paper, we consider capacities of single-antenna terminals communicating to large antenna arrays that are deployed on surfaces. That is, the entire surface is used as an intelligent receiving antenna array. Under the condition that the surface area is sufficiently large, the received signal after matched-filtering (MF) can be well approximated by an intersymbol interference (ISI) channel where channel taps are closely related to a sinc function. Based on such an approximation, we have derived the capacities for both one-dimensional (terminals on a line) and high dimensional (terminals on a plane or in a cube) terminal-deployments. In particular, we analyze the normalized capacity $\bar{\mathcal{C}}$, measured in nats/s/Hz/m$^2$, under the constraint that the transmit power per m$^2$, $\bar{P}$, is fixed. We show that when the user-density increases, the limit of $\bar{\mathcal{C}}$, achieved as the wavelength $\lambda$ approaches 0, is $\bar{P}/(2N_0)$ nats/s/Hz/m$^2$, where $N_0$ is the spatial power spectral density (PSD) of noise. In addition, we also show that the number of signal dimensions is $2/\lambda$ per meter deployed surface for the one-dimensional case, and $\pi/\lambda^2$ per m$^2$ deployed surface for two and three dimensional terminal-deployments.

Connected through hyperedge HE-1 (induced by source paper "large intelligent surface lis based communications new features and system layouts"):
  with members:
    - "beyond massive mimo the potential of positioning with large intelligent surfaces"
    - "beyond massive mimo the potential of data transmission with large intelligent surfaces"
    - "performance analysis of large intelligence surfaces liss asymptotic data rate and channel hardening effects"

Connected through hyperedge HE-2 (induced by source paper "optimizations with intelligent reflecting surfaces irss in 6g wireless networks power control quality of service max min fair beamforming for unicast broadcast and multicast with multi antenna mobile users and multiple irss"):
  with members:
    - "over the air computation via intelligent reflecting surfaces"
    - "miso wireless communication systems via intelligent reflecting surfaces"
    - "cascaded channel estimation for large intelligent metasurface assisted massive mimo"
    - "reflection probability in wireless networks with metasurface coated environmental objects an approach based on random spatial processes"
    - "an interpretable neural network for configuring programmable wireless environments"
    - "beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts"
    - "weighted sum power maximization for intelligent reflecting surface aided swipt"
    - "enabling large intelligent surfaces with compressive sensing and deep learning"

Connected through hyperedge HE-3 (induced by source paper "secrecy rate maximization for intelligent reflecting surface assisted multi antenna communications"):
  with members:
    - "towards smart and reconfigurable environment intelligent reflecting surface aided wireless network"
    - "energy efficient multi user miso communication using low resolution large intelligent surfaces"
    - "achievable rate maximization by passive intelligent mirrors"
    - "intelligent reflecting surface enhanced wireless network via joint active and passive beamforming"
    - "beyond massive mimo the potential of data transmission with large intelligent surfaces"
    - "beamforming optimization for intelligent reflecting surface with discrete phase shifts"
    - "reconfigurable intelligent surfaces for energy efficiency in wireless communication"
    - "intelligent reflecting surface enhanced wireless network joint active and passive beamforming design"

Connected through hyperedge HE-4 (induced by source paper "potential key technologies for 6g mobile communications"):
  with members:
    - "6g the next frontier"
    - "enabling large intelligent surfaces with compressive sensing and deep learning"
    - "beyond massive mimo the potential of data transmission with large intelligent surfaces"
    - "low complexity receiver for uplink scma system via expectation propagation"
    - "low density lattice codes"

Connected through hyperedge HE-5 (induced by source paper "energy efficient multi user miso communication using low resolution large intelligent surfaces"):
  with members:
    - "achievable rate maximization by passive intelligent mirrors"
    - "using any surface to realize a new paradigm for wireless communications"
    - "deep learning coordinated beamforming for highly mobile millimeter wave systems"
    - "position aided beam alignment for millimeter wave backhaul systems with large phased arrays"
    - "advanced coordinated beamforming for the downlink of future lte cellular networks"
    - "energy efficient power control a look at 5g wireless technologies"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "increasing indoor spectrum sharing capacity using smart reflect array"

Connected through hyperedge HE-6 (induced by source paper "beyond massive mimo the potential of data transmission with large intelligent surfaces"):
  with members:
    - "a generalized zero forcing precoder with successive dirty paper coding in miso broadcast channels"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "a low complexity channel shortening receiver with diversity support for evolved 2g device"
    - "massive mimo performance evaluation based on measured propagation data"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "scaling up mimo opportunities and challenges with very large arrays"

Connected through hyperedge HE-7 (induced by source paper "beyond massive mimo the potential of positioning with large intelligent surfaces"):
  with members:
    - "beyond massive mimo the potential of data transmission with large intelligent surfaces"
    - "reciprocity calibration for massive mimo proposal modeling and validation"
    - "fingerprinting based positioning in distributed massive mimo systems"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-8 (induced by source paper "achievable rate maximization by passive intelligent mirrors"):
  with members:
    - "a lse and sparse message passing based channel estimation for mmwave mimo systems"
    - "iterative channel estimation using lse and sparse message passing for mmwave mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

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)