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: "coordination in distributed networks via coded actions with application to power control"
  Abstract: This paper investigates the problem of coordinating several agents through their actions. Although the methodology applies to general scenarios, the present work focuses on a situation with an asymmetric observation structure that only involves two agents. More precisely, one of the agents knows the past, present, and future realizations of a state (the system state) that affects the common payoff function of the agents; in contrast, the second agent is assumed either to know the past realizations of the system state or to have no knowledge of it. In both cases, the second agent has access to some strictly causal observations of the first agent's actions, which enables the two agents to coordinate. These scenarios are applied to the problem of distributed power control; the key idea is that a transmitter may embed information about the wireless channel state into its transmit power levels so that an observation of these levels, e.g. the signal-to-interference plus noise ratio, allows the other transmitter to coordinate its power levels. The main contributions of this paper are twofold. First, we provide a characterization of the set of feasible average payoffs when the agents repeatedly take long sequences of actions and the realizations of the system state are \acs{iid}. Second, we exploit these results in the context of distributed power control and introduce the concept of coded power control. We carry out an extensive numerical analysis of the benefits of coded power control over alternative power control policies, and highlight a simple yet non-trivial example of a power control code.

Connected through hyperedge HE-1 (induced by source paper "distributed power control with partial channel state information performance characterization and design"):
  with members:
    - "interference coordination via power domain channel estimation"
    - "ultra dense small cell networks turning density into energy efficiency"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "coded power control performance analysis"
    - "robust precoding for network mimo with hierarchical csit"
    - "a game theoretic analysis for energy efficient heterogeneous networks"
    - "mac with action dependent state information at one encoder"
    - "framework for link level energy efficiency optimization with informed transmitter"

Connected through hyperedge HE-2 (induced by source paper "empirical coordination subject to a fidelity criterion"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "empirical coordination in a triangular multiterminal network"

Connected through hyperedge HE-3 (induced by source paper "state leakage and coordination of actions core of the receiver s knowledge"):
  with members:
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "rate distortion theory for secrecy systems"
    - "causal state communication"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"

Connected through hyperedge HE-4 (induced by source paper "interference coordination via power domain channel estimation"):
  with members:
    - "ultra dense small cell networks turning density into energy efficiency"
    - "resource allocation for energy efficient 3 way relay channels"
    - "compressive rate estimation with applications to device to device communications"
    - "energy aware competitive power allocation for heterogeneous networks under qos constraints"
    - "crawford sobel meet lloyd max on the grid"
    - "coded power control performance analysis"
    - "power optimization in random wireless networks"
    - "distributed learning policies for power allocation in multiple access channels"

Connected through hyperedge HE-5 (induced by source paper "information design for strategic coordination of autonomous devices with non aligned utilities"):
  with members:
    - "on the role of side information in strategic communication"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "rate distortion theory for secrecy systems"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-6 (induced by source paper "empirical and strong coordination via soft covering with polar codes"):
  with members:
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "f divergence inequalities"
    - "covert communication over noisy channels a resolvability perspective"
    - "bounds among f divergences"
    - "semantic security capacity for wiretap channels of type ii"
    - "strong coordination over multi hop line networks"
    - "empirical coordination for joint source channel coding"
    - "joint empirical coordination of source and channel"

Connected through hyperedge HE-7 (induced by source paper "polar coding for empirical coordination of signals and actions over noisy channels"):
  with members:
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination for joint source channel coding"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "coded power control performance analysis"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "polar coding for secret key generation"
    - "universal polar codes"
    - "strong coordination with polar codes"

Connected through hyperedge HE-8 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "secure cascade channel synthesis"
    - "coordination in state dependent distributed networks the two agent case"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "coordination via a relay"

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)