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: "an upper bound for the capacity of amplitude constrained scalar awgn channel"
  Abstract: This paper slightly improves the upper bound in Thangaraj et al. for the capacity of the amplitude-constrained scalar AWGN channel. This improvement makes the upper bound within 0.002 bits of the capacity for Eb N0 ≤ 2.5 dB.

Connected through hyperedge HE-1 (induced by source paper "computable upper bounds on the capacity of finite state channels"):
  with members:
    - "capacity of burst noise erasure channels with and without feedback and input cost"
    - "feedback capacity and coding for the bibo channel with a no repeated ones input constraint"
    - "dual capacity upper bounds for noisy runlength constrained channels"
    - "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"
    - "capacity of a post channel with and without feedback"
    - "capacity and coding for the ising channel with feedback"
    - "the capacity of channels with feedback"

Connected through hyperedge HE-2 (induced by source paper "the capacity achieving distribution for the amplitude constrained additive gaussian channel an upper bound on the number of mass points"):
  with members:
    - "upper and lower bounds on the capacity of amplitude constrained mimo channels"
    - "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"
    - "on the capacity of vector gaussian channels with bounded inputs"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-3 (induced by source paper "upper and lower bounds on the capacity of amplitude constrained mimo channels"):
  with members:
    - "the capacity of gaussian mimo channels under total and per antenna power constraints"
    - "interference as noise friend or foe"
    - "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"
    - "on the capacity of vector gaussian channels with bounded inputs"
    - "miso capacity with per antenna power constraint"
    - "on the boundedness of the support of optimal input measures for rayleigh fading channels"

Connected through hyperedge HE-4 (induced by source paper "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"):
  with members:
    - "dual capacity upper bounds for noisy runlength constrained channels"
    - "peak to average power ratio of good codes for gaussian channel"
    - "on the monotonicity log concavity and tight bounds of the generalized marcum and nuttall q functions"
    - "on the capacity of free space optical intensity channels"

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)