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: "capacity of multiple one bit transceivers in a rayleigh environment"
  Abstract: We analyze the channel capacity of a system with a large number of one-bit transceivers in a classical Rayleigh environment with perfect channel information at the receiver. With $M$ transmitters and $N=\alpha M$ receivers, we derive an expression of the capacity per transmitter $\mathcal{C}$, where $\mathcal{C}\leq\min(1,\alpha)$, as a function of $\alpha$ and signal-to-noise ratio (SNR) $\rho$, when $M\to\infty$. We show that our expression is a good approximation for small $M$, and provide simple approximations of $\mathcal{C}$ for various ranges of $\alpha$ and SNR $\rho$. We conclude that at high SNR, $\mathcal{C}$ reaches its upper limit of one only if the ratio $\alpha>1.24$. Expressions for determining when $\mathcal{C}$ "saturates" as a function of $\alpha$ and $\rho$ are given.

Connected through hyperedge HE-1 (induced by source paper "training for channel estimation in nonlinear multi antenna transceivers"):
  with members:
    - "beamforming with multiple one bit wireless transceivers"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "massive mu mimo ofdm downlink with one bit dacs and linear precoding"
    - "how much training is needed in one bit massive mimo systems at low snr"
    - "bayes optimal joint channel and data estimation for massive mimo with low precision adcs"
    - "downlink achievable rate analysis in massive mimo systems with one bit dacs"
    - "mmse precoder for massive mimo using 1 bit quantization"

Connected through hyperedge HE-2 (induced by source paper "on the capacity of miso channels with one bit adcs and dacs"):
  with members:
    - "spatial lattice modulation for mimo systems"
    - "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "analysis of 1 bit output noncoherent fading channels in the low snr regime"

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)