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: "rate regions for the partially cooperative relay broadcast channel with non causal side information"
  Abstract: In this work, we consider a partially cooperative relay broadcast channel (PC-RBC) controlled by random parameters. We provide rate regions for two different situations: 1) when side information (SI) S^n on the random parameters is non-causally known at both the source and the relay and, 2) when side information S^n is non-causally known at the source only. These achievable regions are derived for the general discrete memoryless case first and then extended to the case when the channel is degraded Gaussian and the SI is additive i.i.d. Gaussian. In this case, the source uses generalized dirty paper coding (GDPC), i.e., DPC combined with partial state cancellation, when only the source is informed, and DPC alone when both the source and the relay are informed. It appears that, even though it can not completely eliminate the effect of the SI (in contrast to the case of source and relay being informed), GDPC is particularly useful when only the source is informed.

Connected through hyperedge HE-1 (induced by source paper "on cooperative multiple access channels with delayed csi at transmitters"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "multiple access channels with states causally known at transmitters"
    - "secure degrees of freedom of mimo x channels with output feedback and delayed csit"
    - "estimation with a helper who knows the interference"
    - "wyner ziv type versus noisy network coding for a state dependent mac"
    - "on achievable degrees of freedom for mimo x channels"
    - "wireless network information flow a deterministic approach"
    - "the state dependent semideterministic broadcast channel"

Connected through hyperedge HE-2 (induced by source paper "state dependent relay channel with private messages with partial causal and non causal channel state information"):
  with members:
    - "bounds on the capacity of the relay channel with noncausal state information at source"
    - "lecture notes on network information theory"
    - "rate regions for relay broadcast channels"
    - "cooperative relay broadcast channels"

Connected through hyperedge HE-3 (induced by source paper "multiple access channels with cooperative encoders and channel state information"):
  with members:
    - "achievable rate regions for dirty tape channels and joint writing on dirty paper and dirty tape"
    - "distributed interference cancellation in multiple access channel with transmitter cooperation"

Connected through hyperedge HE-4 (induced by source paper "multiaccess channels with state known to one encoder another case of degraded message sets"):
  with members:
    - "lattice strategies for the dirty multiple access channel"
    - "cooperative relaying with state available at the relay"
    - "on the capacity of interference channels with one cooperating transmitter"
    - "multiaccess channels with state known to some encoders and independent messages"

Connected through hyperedge HE-5 (induced by source paper "cooperative relaying with state available non causally at the relay"):
  with members:
    - "lattice strategies for the dirty multiple access channel"
    - "multiaccess channels with state known to one encoder another case of degraded message sets"
    - "multiaccess channels with state known to some encoders and independent messages"

Connected through hyperedge HE-6 (induced by source paper "cooperative relaying with state available at the relay"):
  with members:
    - "multiaccess channels with state known to one encoder another case of degraded message sets"

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)