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: "channel sensing and communication over a time correlated channel with an energy harvesting transmitter"
  Abstract: An energy harvesting (EH) transmitter communicating over a time-correlated wireless channel is considered. The transmitter is capable of sensing the current channel state, albeit at the cost of both energy and transmission time. The EH transmitter aims to maximize its long-term throughput by choosing one of the following actions: 1) defer its transmission to save energy for future use; 2) transmit reliably at a low rate; 3) transmit at a high rate; and 4) sense the channel to reveal the channel state at a cost of energy and transmission time, and then decide to defer or to transmit. The problem is formulated as a partially observable Markov decision process with a belief on the channel state. The optimal policy is shown to exhibit a threshold behavior on the belief state, with battery-dependent threshold values. The optimal threshold values and performance are characterized numerically via the value iteration algorithm as well as a policy search algorithm that exploits the threshold structure of the optimal policy. Our results demonstrate that, despite the associated time and energy cost, sensing the channel intelligently to track the channel state improves the achievable long-term throughput significantly as compared to the performance of those protocols lacking this ability as well as the one that always senses the channel.

Connected through hyperedge HE-1 (induced by source paper "communication over a time correlated channel with an energy harvesting transmitter"):
  with members:
    - "energy harvesting wireless networks with correlated energy sources"
    - "distributed opportunistic scheduling for energy harvesting based wireless networks a two stage probing approach"
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "data driven stochastic models and policies for energy harvesting sensor communications"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"

Connected through hyperedge HE-2 (induced by source paper "wireless energy and information transfer in networks with hybrid arq"):
  with members:
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "wireless information transfer with opportunistic energy harvesting"
    - "mimo broadcasting for simultaneous wireless information and power transfer"

Connected through hyperedge HE-3 (induced by source paper "swipt using hybrid arq over time varying channels"):
  with members:
    - "energy management for energy harvesting wireless sensors with adaptive retransmission"
    - "on distributed power control for uncoordinated dual energy harvesting links performance bounds and near optimal policies"
    - "on optimal policies in full duplex wireless powered communication networks"
    - "arq with adaptive feedback for energy harvesting receivers"
    - "communications and signals design for wireless power transmission"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "wireless powered relays in cooperative communications time switching relaying protocols and throughput analysis"
    - "powering the next billion devices with wi fi"

Connected through hyperedge HE-4 (induced by source paper "finite horizon energy efficient scheduling with energy harvesting transmitters over fading channels"):
  with members:
    - "a general utility optimization framework for energy harvesting based wireless communications"
    - "universally near optimal online power control for energy harvesting nodes"
    - "finite horizon online lazy scheduling with energy harvesting transmitters over fading channels"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "throughput maximization for an energy harvesting communication system with processing cost"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "optimal offline broadcast scheduling with an energy harvesting transmitter"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

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)