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: "noncoherent rician fading channel part ii spectral efficiency in the low power regime"
  Abstract: Transmission of information over a discrete-time memoryless Rician fading channel is considered, where neither the receiver nor the transmitter knows the fading coefficients. The spectral-efficiency/bit-energy tradeoff in the low-power regime is examined when the input has limited peakedness. It is shown that if a fourth-moment input constraint is imposed, or the input peak-to-average power ratio is limited, then in contrast to the behavior observed in average-power-limited channels, the minimum bit energy is not always achieved at zero spectral efficiency. The low-power performance is also characterized when there is a fixed peak limit that does not vary with the average power. A new signaling scheme that overlays phase-shift keying on ON-OFF keying (OOK) is proposed and shown to be optimally efficient in the low-power regime.

Connected through hyperedge HE-1 (induced by source paper "on the miso channel with feedback can infinitely massive antennas achieve infinite capacity"):
  with members:
    - "achievable rates of fdd massive mimo systems with spatial channel correlation"
    - "what will 5g be"
    - "downlink training techniques for fdd massive mimo systems open loop and closed loop training with memory"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "optimization of training and feedback overhead for beamforming over block fading channels"
    - "gaussian interference channel capacity to within one bit"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-2 (induced by source paper "on the capacity of multiple access and broadcast fading channels with full channel state information at low snr"):
  with members:
    - "energy efficiency in the low snr regime under queueing constraints and channel uncertainty"
    - "on the low snr capacity of phase shift keying with hard decision detection"
    - "capacity of sparse multipath channels in the ultra wideband regime"

Connected through hyperedge HE-3 (induced by source paper "energy efficient full diversity collaborative unitary space time block code design via unique factorization of signals"):
  with members:
    - "full diversity codes for miso systems equipped with linear or ml detectors"
    - "four group decodable space time block codes"
    - "on full diversity space time block codes with partial interference cancellation group decoding"
    - "on fast decodable space time block codes"
    - "quasi orthogonal stbc with minimum decoding complexity"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"

Connected through hyperedge HE-4 (induced by source paper "the impact of hard decision detection on the energy efficiency of phase and frequency modulation"):
  with members:
    - "error rate analysis for peaky signaling over fading channels"
    - "how good is phase shift keying for peak limited rayleigh fading channels in the low snr regime"

Connected through hyperedge HE-5 (induced by source paper "optimal constellations for the low snr noncoherent mimo block rayleigh fading channel"):
  with members:
    - "low snr capacity of fading channels mimo and delay spread"
    - "non coherent capacity and reliability of sparse multipath channels in the wideband regime"
    - "capacity of sparse multipath channels in the ultra wideband regime"
    - "low snr capacity of fading channels with peak and average power constraints"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-6 (induced by source paper "on the capacity and energy efficiency of training based transmissions over fading channels"):
  with members:
    - "pilot symbol assisted communications with noncausal and causal wiener filters"
    - "training optimization for gauss markov rayleigh fading channels"
    - "capacity of sparse multipath channels in the ultra wideband regime"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"
    - "channel uncertainty in ultra wideband communication systems"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-7 (induced by source paper "error rate analysis for peaky signaling over fading channels"):
  with members:
    - "performance analysis for multichannel reception of oofsk signaling"
    - "error exponents and cutoff rate for noncoherent rician fading channels"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"

Connected through hyperedge HE-8 (induced by source paper "error probability analysis of peaky signaling over fading channels"):
  with members:
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"

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)