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: "ergodic fading interference channels sum capacity and separability"
  Abstract: The sum-capacity for specific sub-classes of ergodic fading Gaussian two-user interference channels (IFCs) is developed under the assumption of perfect channel state information at all transmitters and receivers. For the sub-classes of uniformly strong (every fading state is strong) and ergodic very strong two-sided IFCs (a mix of strong and weak fading states satisfying specific fading averaged conditions) the optimality of completely decoding the interference, i.e., converting the IFC to a compound multiple access channel (C-MAC), is proved. It is also shown that this capacity-achieving scheme requires encoding and decoding jointly across all fading states. As an achievable scheme and also as a topic of independent interest, the capacity region and the corresponding optimal power policies for an ergodic fading C-MAC are developed. For the sub-class of uniformly weak IFCs (every fading state is weak), genie-aided outer bounds are developed. The bounds are shown to be achieved by treating interference as noise and by separable coding for one-sided fading IFCs. Finally, for the sub-class of one-sided hybrid IFCs (a mix of weak and strong states that do not satisfy ergodic very strong conditions), an achievable scheme involving rate splitting and joint coding across all fading states is developed and is shown to perform at least as well as a separable coding scheme.

Connected through hyperedge HE-1 (induced by source paper "interference regime enforcing rate maximization for non orthogonal multiple access noma"):
  with members:
    - "signal processing for mimo noma present and future challenges"
    - "cooperative interference management with miso beamforming"

Connected through hyperedge HE-2 (induced by source paper "strong interference alignment"):
  with members:
    - "channel aided interference alignment"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "ergodic interference alignment"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "capacity of symmetric k user gaussian very strong interference channels"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-3 (induced by source paper "approximate capacity of fast fading interference channels with no instantaneous csit"):
  with members:
    - "cooperation for interference management a gdof perspective"
    - "capacity bounds for a class of interference relay channels"
    - "capacity results for binary fading interference channels with delayed csit"
    - "ergodic interference alignment with delayed feedback"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit"
    - "wireless network information flow a deterministic approach"
    - "interference channels with source cooperation"

Connected through hyperedge HE-4 (induced by source paper "perfect interference alignment for an interference network with general message demands"):
  with members:
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "on feasibility of interference alignment in mimo interference networks"
    - "on feasibility of interference alignment in mimo interference networks"
    - "ergodic interference alignment"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "capacity of symmetric k user gaussian very strong interference channels"

Connected through hyperedge HE-5 (induced by source paper "on the optimality of treating interference as noise for k user parallel gaussian interference networks"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on the optimality of treating interference as noise"
    - "the ergodic capacity of phase fading interference networks"
    - "wireless network information flow a deterministic approach"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "sum capacity and the unique separability of the parallel gaussian mac z bc network"
    - "on the capacity of the k user cyclic gaussian interference channel"

Connected through hyperedge HE-6 (induced by source paper "channel aided interference alignment"):
  with members:
    - "the feasibility conditions for interference alignment in mimo networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "degrees of freedom region for an interference network with general message demands"
    - "delay rate tradeoff for ergodic interference alignment in the gaussian case"
    - "ergodic interference alignment"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"

Connected through hyperedge HE-7 (induced by source paper "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit"):
  with members:
    - "capacity bounds for wireless ergodic fading broadcast channels with partial csit"
    - "fundamental limits of communications in interference networks part i basic structures"
    - "fundamental limits of communications in interference networks part ii information flow in degraded networks"
    - "interference mitigation through limited transmitter cooperation"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "a general coding scheme for two user fading interference channels"
    - "interference mitigation through limited receiver cooperation"
    - "outage analysis of block fading gaussian interference channels"

Connected through hyperedge HE-8 (induced by source paper "capacity bounds for wireless ergodic fading broadcast channels with partial csit"):
  with members:
    - "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit"
    - "private broadcasting over independent parallel channels"
    - "the two user gaussian fading broadcast channel"
    - "interference networks with general message sets a random coding scheme"
    - "a note on outer bounds for broadcast channel"
    - "fading cognitive multiple access channels with confidential messages"
    - "capacity bounds for broadcast channels with confidential messages"
    - "fading broadcast channels with state information at the receivers"

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)