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: "distributed opportunistic scheduling for energy harvesting based wireless networks a two stage probing approach"
  Abstract: This paper considers a heterogeneous ad hoc network with multiple transmitter-receiver pairs, in which all transmitters are capable of harvesting renewable energy from the environment and compete for one shared channel by random access. In particular, we focus on two different scenarios: the constant energy harvesting (EH) rate model where the EH rate remains constant within the time of interest and the i.i.d. EH rate model where the EH rates are independent and identically distributed across different contention slots. To quantify the roles of both the energy state information (ESI) and the channel state information (CSI), a distributed opportunistic scheduling (DOS) framework with two-stage probing and save-then-transmit energy utilization is proposed. Then, the optimal throughput and the optimal scheduling strategy are obtained via one-dimension search, i.e., an iterative algorithm consisting of the following two steps in each iteration: First, assuming that the stored energy level at each transmitter is stationary with a given distribution, the expected throughput maximization problem is formulated as an optimal stopping problem, whose solution is proven to exist and then derived for both models; second, for a fixed stopping rule, the energy level at each transmitter is shown to be stationary and an efficient iterative algorithm is proposed to compute its steady-state distribution. Finally, we validate our analysis by numerical results and quantify the throughput gain compared with the best-effort delivery scheme.

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"
    - "channel sensing and communication over a time correlated channel with an energy harvesting transmitter"
    - "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 "energy harvesting wireless networks with correlated energy sources"):
  with members:
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "a learning theoretic approach to energy harvesting communication system optimization"
    - "a general framework for the optimization of energy harvesting communication systems with battery imperfections"
    - "optimal packet scheduling on an energy harvesting broadcast link"

Connected through hyperedge HE-3 (induced by source paper "channel sensing and communication over a time correlated channel with an energy harvesting transmitter"):
  with members:
    - "energy harvesting wireless networks with correlated energy sources"
    - "optimization of energy harvesting miso communication system with feedback"
    - "multi access communications with energy harvesting a multi armed bandit model and the optimality of the myopic policy"
    - "universally near optimal online power control for energy harvesting nodes"
    - "stability analysis of slotted aloha with opportunistic rf energy harvesting"
    - "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-4 (induced by source paper "an optimal stopping approach to cell selection in 5g networks"):
  with members:
    - "random access preamble design and detection for 3gpp narrowband iot systems"
    - "throughput optimal listen before talk for cellular in unlicensed spectrum"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "what will 5g be"
    - "dynamic resource allocation for multiple antenna wireless power transfer"
    - "multi round contention in wireless lans with multipacket reception"

Connected through hyperedge HE-5 (induced by source paper "multiuser energy diversity in energy harvesting wireless communications"):
  with members:
    - "energy harvesting wireless communications a review of recent advances"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "fundamentals of heterogeneous cellular networks with energy harvesting"
    - "internet of things iot a vision architectural elements and future directions"
    - "multi user diversity with random number of users"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-6 (induced by source paper "throughput optimal listen before talk for cellular in unlicensed spectrum"):
  with members:
    - "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum"
    - "optimal relay probing in millimeter wave cellular systems with device to device relaying"
    - "dynamic resource allocation for multiple antenna wireless power transfer"

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)