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: "throughput optimal decentralized scheduling of multi hop networks with end to end deadline constraints unreliable links"
  Abstract: We consider unreliable multi-hop networks serving multiple flows in which packets not delivered to their destination nodes by their deadlines are dropped. We address the design of policies for routing and scheduling packets that optimize any specified weighted average of the throughputs of the flows. We provide a new approach which directly yields an optimal distributed scheduling policy that attains any desired maximal timely-throughput vector under average-power constraints on the nodes. It pursues a novel intrinsically stochastic decomposition of the Lagrangian of the constrained network-wide MDP rather than of the fluid model. All decisions regarding a packet's transmission scheduling, transmit power level, and routing, are completely distributed, based solely on the age of the packet, not requiring any knowledge of network state or queue lengths at any of the nodes. Global coordination is achieved through a tractably computable "price" for transmission energy. This price is different from that used to derive the backpressure policy where price corresponds to queue lengths. A quantifiably near-optimal policy is provided if nodes have peak-power constraints.

Connected through hyperedge HE-1 (induced by source paper "quality of service in multihop wireless networks diffusion approximation"):
  with members:
    - "distributed control and quality of service in multihop wireless networks"

Connected through hyperedge HE-2 (induced by source paper "risk sensitive optimal control of queues"):
  with members:
    - "optimal routing for delay sensitive traffic in overlay networks"
    - "index policies for optimal mean variance trade off of inter delivery times in real time sensor networks"
    - "a high reliability asymptotic approach for packet inter delivery time optimization in cyber physical systems"
    - "capacity and scheduling of access points for multiple live video streams"
    - "pathwise performance of debt based policies for wireless networks with hard delay constraints"

Connected through hyperedge HE-3 (induced by source paper "a distributed scheduling algorithm to provide quality of service in multihop wireless networks"):
  with members:
    - "joint routing scheduling and power control providing hard deadline in wireless multihop networks"
    - "a distributed algorithm for quality of service provisioning in multihop networks"
    - "enhancing the delay performance of dynamic backpressure algorithms"
    - "incremental gradient subgradient and proximal methods for convex optimization a survey"
    - "a survey on delay aware resource control for wireless systems large deviation theory stochastic lyapunov drift and distributed stochastic learning"

Connected through hyperedge HE-4 (induced by source paper "distributed control and quality of service in multihop wireless networks"):
  with members:
    - "joint routing scheduling and power control providing hard deadline in wireless multihop networks"
    - "enhancing the delay performance of dynamic backpressure algorithms"
    - "incremental gradient subgradient and proximal methods for convex optimization a survey"
    - "a survey on delay aware resource control for wireless systems large deviation theory stochastic lyapunov drift and distributed stochastic learning"

Connected through hyperedge HE-5 (induced by source paper "node based service balanced scheduling for provably guaranteed throughput and evacuation time performance"):
  with members:
    - "minimal evacuation times and stability"
    - "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks"

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.NI(Networking and Internet Architecture)