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: "low snr capacity of fading channels with peak and average power constraints"
  Abstract: Flat-fading channels that are correlated in time are considered under peak and average power constraints. For discrete-time channels, a new upper bound on the capacity per unit time is derived. A low SNR analysis of a full-scattering vector channel is used to derive a complimentary lower bound. Together, these bounds allow us to identify the exact scaling of channel capacity for a fixed peak to average ratio, as the average power converges to zero. The upper bound is also asymptotically tight as the average power converges to zero for a fixed peak power. #R##N#For a continuous time infinite bandwidth channel, Viterbi identified the capacity for M-FSK modulation. Recently, Zhang and Laneman showed that the capacity can be achieved with non-bursty signaling (QPSK). An additional contribution of this paper is to obtain similar results under peak and average power constraints.

Connected through hyperedge HE-1 (induced by source paper "on capacity and capacity per unit cost of gaussian multiple access channel with peak power constraints"):
  with members:
    - "noncoherent capacity of underspread fading channels"
    - "low snr capacity of noncoherent fading channels"
    - "multicasting in large wireless networks bounds on the minimum energy per bit"
    - "mutual information and minimum mean square error in gaussian channels"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-2 (induced by source paper "noncoherent capacity of underspread fading channels"):
  with members:
    - "low snr capacity of noncoherent fading channels"
    - "on the sensitivity of noncoherent capacity to the channel model"
    - "multipath channels of bounded capacity"
    - "capacity results for block stationary gaussian fading channels with a peak power constraint"
    - "capacity of sparse multipath channels in the ultra wideband regime"
    - "channel uncertainty in ultra wideband communication systems"
    - "mutual information and minimum mean square error in gaussian channels"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-3 (induced by source paper "low snr capacity of noncoherent fading channels"):
  with members:
    - "multipath channels of bounded capacity"
    - "low snr capacity of fading channels mimo and delay spread"
    - "a channel that heats up"
    - "optimal constellations for the low snr noncoherent mimo block rayleigh fading channel"
    - "on the low snr capacity of peak limited non coherent fading channels with memory"
    - "how good is phase shift keying for peak limited rayleigh fading channels in the low snr regime"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-4 (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"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"
    - "noncoherent rician fading channel part ii spectral efficiency in the low power regime"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-5 (induced by source paper "capacity of underspread noncoherent wssus fading channels under peak signal constraints"):
  with members:
    - "how good is phase shift keying for peak limited rayleigh fading channels in the low snr regime"
    - "on off frequency shift keying for wideband fading channels"
    - "mutual information and minimum mean square error in gaussian channels"
    - "capacity per unit energy of fading channels with a peak constraint"

Connected through hyperedge HE-6 (induced by source paper "low snr capacity of fading channels mimo and delay spread"):
  with members:
    - "on the low snr capacity of peak limited non coherent fading channels with memory"
    - "how good is phase shift keying for peak limited rayleigh 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)