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: "bounds on the capacity of the relay channel with noncausal state at source"
  Abstract: We consider a three-terminal state-dependent relay channel with the channel state available non-causally at only the source. Such a model may be of interest for node cooperation in the framework of cognition, i.e., collaborative signal transmission involving cognitive and non-cognitive radios. We study the capacity of this communication model. One principal problem is caused by the relay's not knowing the channel state. For the discrete memoryless (DM) model, we establish two lower bounds and an upper bound on channel capacity. The first lower bound is obtained by a coding scheme in which the source describes the state of the channel to the relay and destination, which then exploit the gained description for a better communication of the source's information message. The coding scheme for the second lower bound remedies the relay's not knowing the states of the channel by first computing, at the source, the appropriate input that the relay would send had the relay known the states of the channel, and then transmitting this appropriate input to the relay. The relay simply guesses the sent input and sends it in the next block. The upper bound is non trivial and it accounts for not knowing the state at the relay and destination. For the general Gaussian model, we derive lower bounds on the channel capacity by exploiting ideas in the spirit of those we use for the DM model; and we show that these bounds are optimal for small and large noise at the relay irrespective to the strength of the interference. Furthermore, we also consider a special case model in which the source input has two components one of which is independent of the state. We establish a better upper bound for both DM and Gaussian cases and we also characterize the capacity in a number of special cases.

Connected through hyperedge HE-1 (induced by source paper "the arbitrarily varying relay channel"):
  with members:
    - "the capacity of the relay channel solution to cover s problem in the gaussian case"
    - "arbitrarily varying wiretap channels with type constrained states"
    - "cut set bound is loose for gaussian relay networks"
    - "the arbitrarily varying wiretap channel secret randomness stability and super activation"
    - "on the continuity of the secrecy capacity of compound and arbitrarily varying wiretap channels"
    - "capacity approximations for gaussian relay networks"
    - "the arbitrarily varying multiple access channel with conferencing encoders"
    - "secure communication over parallel relay channel"

Connected through hyperedge HE-2 (induced by source paper "secure lossy source coding for some classes of helper and gray wyner models"):
  with members:
    - "multiaccess channel with partially cooperating encoders and security constraints"
    - "on secure source coding with side information at the encoder"
    - "secure degrees of freedom of mimo x channels with output feedback and delayed csit"
    - "secure source coding with a public helper"
    - "secure lossless compression with side information"
    - "on the secure degrees of freedom of wireless x networks"
    - "the secrecy capacity of the mimo wiretap channel"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-3 (induced by source paper "cooperative binning for semi deterministic channels with non causal state information"):
  with members:
    - "fourier motzkin elimination software for information theoretic inequalities"
    - "cooperative binning for semideterministic channels"
    - "capacity of a class of state dependent orthogonal relay channels"
    - "multiple access channels with combined cooperation and partial cribbing"
    - "two way source coding with a helper"

Connected through hyperedge HE-4 (induced by source paper "cooperative binning for semideterministic channels"):
  with members:
    - "on cooperative multiple access channels with delayed csi at transmitters"
    - "multiple access channels with states causally known at transmitters"
    - "message and state cooperation in a relay channel when only the relay knows the state"
    - "on the capacity of memoryless finite state multiple access channels with asymmetric state information at the encoders"
    - "the state dependent multiple access channel with states available at a cribbing encoder"
    - "lattice strategies for the dirty multiple access channel"

Connected through hyperedge HE-5 (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-6 (induced by source paper "parallel gaussian networks with a common state cognitive helper"):
  with members:
    - "on the achievable rate regions for state dependent gaussian interference channel"
    - "secret key agreement with channel state information at the transmitter"
    - "the state dependent semideterministic broadcast channel"
    - "capacity bounds for multiuser channels with non causal channel state information at the transmitters"
    - "distributed interference cancellation in multiple access channels"
    - "on the capacity of compound state dependent channels with states known at the transmitter"
    - "lattice strategies for the dirty multiple access channel"
    - "multiaccess channels with state known to some encoders and independent messages"

Connected through hyperedge HE-7 (induced by source paper "capacity of a class of state dependent orthogonal relay channels"):
  with members:
    - "cooperative binning for semideterministic channels"
    - "relay channel with orthogonal components and structured interference known at the source"
    - "message and state cooperation in a relay channel when only the relay knows the state"
    - "bounds on the capacity of the relay channel with noncausal state information at source"
    - "capacity of a class of diamond channels"
    - "capacity of a class of deterministic relay channels"
    - "capacity of a class of modulo sum relay channels"

Connected through hyperedge HE-8 (induced by source paper "outage probability of energy harvesting relay aided cooperative networks over rayleigh fading channel"):
  with members:
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "relaying protocols for wireless energy harvesting and information processing"

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)