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: "broadcasting correlated gaussians"
  Abstract: We consider the transmission of a memoryless bivariate Gaussian source over an average-power-constrained one-to-two Gaussian broadcast channel. The transmitter observes the source and describes it to the two receivers by means of an average-power-constrained signal. Each receiver observes the transmitted signal corrupted by a different additive white Gaussian noise and wishes to estimate the source component intended for it. That is, Receiver~1 wishes to estimate the first source component and Receiver~2 wishes to estimate the second source component. Our interest is in the pairs of expected squared-error distortions that are simultaneously achievable at the two receivers. #R##N#We prove that an uncoded transmission scheme that sends a linear combination of the source components achieves the optimal power-versus-distortion trade-off whenever the signal-to-noise ratio is below a certain threshold. The threshold is a function of the source correlation and the distortion at the receiver with the weaker noise.

Connected through hyperedge HE-1 (induced by source paper "short packet downlink transmission with non orthogonal multiple access"):
  with members:
    - "an optimization perspective of the superiority of noma compared to conventional oma"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "wirelessly powered communication networks with short packets"
    - "energy efficient packet scheduling with finite blocklength codes convexity analysis and efficient algorithms"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "performance comparison of short length error correcting codes"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

Connected through hyperedge HE-2 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback"):
  with members:
    - "on the ozarow leung scheme for the gaussian broadcast channel with feedback"
    - "interactive schemes for the awgn channel with noisy feedback"
    - "insufficiency of linear feedback schemes in gaussian broadcast channels with common message"
    - "mimo mac bc duality with linear feedback coding schemes"
    - "source channel coding theorems for the multiple access relay channel"
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "optimality and approximate optimality of source channel separation in networks"
    - "variations on a theme by schalkwijk and kailath"

Connected through hyperedge HE-3 (induced by source paper "communicating correlated sources over mac and interference channels i separation based schemes"):
  with members:
    - "communicating correlated sources over an interference channel"
    - "broadcasting correlated vector gaussians"
    - "matched multiuser gaussian source channel communications via uncoded schemes"
    - "on joint source channel coding for correlated sources over multiple access relay channels"
    - "an achievable rate distortion region for the multiple descriptions problem"
    - "a new data processing inequality and its applications in distributed source and channel coding"
    - "optimality and approximate optimality of source channel separation in networks"
    - "interference channels with arbitrarily correlated sources"

Connected through hyperedge HE-4 (induced by source paper "a source channel separation theorem with application to the source broadcast problem"):
  with members:
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "broadcasting correlated vector gaussians"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "optimality and approximate optimality of source channel separation in networks"
    - "approximate characterizations for the gaussian source broadcast distortion region"
    - "an extremal inequality motivated by multiterminal information theoretic problems"
    - "vector gaussian multiple description with individual and central receivers"

Connected through hyperedge HE-5 (induced by source paper "broadcasting correlated vector gaussians"):
  with members:
    - "a source channel separation theorem with application to the source broadcast problem"
    - "joint unitary triangularization for mimo networks"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"
    - "hybrid coding for gaussian broadcast channels with gaussian sources"
    - "vector gaussian multiple description with individual and central receivers"

Connected through hyperedge HE-6 (induced by source paper "matched multiuser gaussian source channel communications via uncoded schemes"):
  with members:
    - "a source channel separation theorem with application to the source broadcast problem"
    - "outer bounds on the admissible source region for broadcast channels with correlated sources"
    - "optimality and approximate optimality of source channel separation in networks"
    - "approximate characterizations for the gaussian source broadcast distortion region"

Connected through hyperedge HE-7 (induced by source paper "computation over gaussian networks with orthogonal components"):
  with members:
    - "computation in multicast networks function alignment and converse theorems"
    - "wireless network information flow a deterministic approach"
    - "nested lattice codes for gaussian relay networks with interference"
    - "computing linear functions by linear coding over networks"
    - "network coding for computing cut set bounds"
    - "optimal function computation in directed and undirected graphs"
    - "linear codes target function classes and network computing capacity"
    - "cascade multiterminal source coding"

Connected through hyperedge HE-8 (induced by source paper "an achievable rate region for the broadcast channel with feedback"):
  with members:
    - "feedback can double the prelog of some memoryless gaussian networks"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "correlated sources over broadcast channels"
    - "comments on broadcast channels with arbitrarily correlated sources"
    - "approximate characterizations for the gaussian source broadcast distortion region"
    - "a new achievable rate region for the discrete memoryless multiple access channel with noiseless feedback"
    - "a graph based framework for transmission of correlated sources over broadcast 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)