human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "capacity outer bound and degrees of freedom of wiener phase noise channels with oversampling"):
  Abstract: The discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. #R##N#A novel outer bound on the capacity with an average input power constraint is derived as a function of the oversampling factor. #R##N#This outer bound yields the degrees of freedom for the scenario in which the oversampling factor grows with the transmit power $P$ as $P^{\alpha}$. #R##N#The result shows, perhaps surprisingly, that the largest pre-log that can be attained with phase modulation at high signal-to-noise ratio is at most $1/4$.

Includes members:
  Member "capacity of discrete time wiener phase noise channels to within a constant gap":
    also connected through other hyperedges:
      (none)
  Member "models and information rates for wiener phase noise channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an approximate ml detector for mimo channels corrupted by phase noise")
  Member "on the capacity of the wiener phase noise channel bounds and capacity achieving distributions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "capacity of discrete time wiener phase noise channels to within a constant gap")
  Member "on continuous time white phase noise channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "models and information rates for wiener phase noise channels")
  Member "phase modulation for discrete time wiener phase noise channels with oversampling at high snr":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "models and information rates for wiener phase noise channels")
  Member "multi sample receivers increase information rates for wiener phase noise channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "models and information rates for wiener phase noise channels")
  Member "on wiener phase noise channels at high signal to noise ratio":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "models and information rates for wiener phase noise channels")
  Member "calculation of mutual information for partially coherent gaussian channels with applications to fiber optics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "models and information rates for wiener phase noise channels")

Question: Please tell me which class the source paper 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)