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: "joint queue aware and channel aware delay optimal scheduling of arbitrarily bursty traffic over multi state time varying channels"
  Abstract: This paper is motivated by the observation that the average queueing delay can be decreased by sacrificing power efficiency in wireless communications. In this sense, we naturally wonder what is the minimum queueing delay when the available power is limited and how to achieve the minimum queueing delay. To answer these two questions in the scenario where randomly arriving packets are transmitted over multi-state wireless fading channel, a probabilistic cross-layer scheduling policy is proposed in this paper, and characterized by a constrained Markov Decision Process (MDP). Using the steady-state probability of the underlying Markov chain, we are able to derive the mathematical expressions of the concerned metrics, namely, the average queueing delay and the average power consumption. To describe the delay-power tradeoff, we formulate a non-linear programming problem, which, however, is very challenging to solve. By analyzing its structure, this optimization problem can be converted into an equivalent Linear Programming (LP) problem via variable substitution, which allows us to derive the optimal delay-power tradeoff as well as the optimal scheduling policy. The optimal scheduling policy turns out to be dual-threshold-based, which means transmission decisions should be made based on the optimal thresholds imposed on the queue length and the channel state.

Connected through hyperedge HE-1 (induced by source paper "minimizing age of information with power constraints multi user opportunistic scheduling in multi state time varying channels"):
  with members:
    - "an aoi optimal scheduling method for wireless transmissions with truncated channel inversion"
    - "minimizing the age of information noma or oma"
    - "scheduling to minimize age of synchronization in wireless broadcast networks with random updates"
    - "scheduling to minimize age of information in multi state time varying networks with power constraints"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"

Connected through hyperedge HE-2 (induced by source paper "scheduling to minimize age of information in multi state time varying networks with power constraints"):
  with members:
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "sending information through status updates"
    - "optimizing age of information in wireless networks with perfect channel state information"
    - "scheduling policies for age minimization in wireless networks with unknown channel state"
    - "timely throughput optimal scheduling with prediction"
    - "average age of information with hybrid arq under a resource constraint"
    - "opportunistic scheduling as restless bandits"

Connected through hyperedge HE-3 (induced by source paper "delay optimal and energy efficient communications with markovian arrivals"):
  with members:
    - "accelerated structure aware reinforcement learning for delay sensitive energy harvesting wireless sensors"
    - "delay optimal probabilistic scheduling in green communications with arbitrary arrival and adaptive transmission"
    - "delay optimal buffer aware scheduling with adaptive transmission"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"

Connected through hyperedge HE-4 (induced by source paper "optimizing data freshness in time varying wireless networks with imperfect channel state"):
  with members:
    - "scheduling to minimize age of information in multi state time varying networks with power constraints"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"

Connected through hyperedge HE-5 (induced by source paper "queue aware variable length coding for ultra reliable low latency communications with random arrival"):
  with members:
    - "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees"

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)