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: "optimized resource provisioning and operation control for low power wide area iot networks"
  Abstract: Grant-free radio access is a promising solution for reducing energy consumption and access delay in low power wide-area (LPWA) Internet of Things (IoT) networks. This work is devoted to reliability ...

Connected through hyperedge HE-1 (induced by source paper "performance evaluation and optimization of lpwa iot networks a stochastic geometry approach"):
  with members:
    - "grant free radio access for short packet communications over 5g networks"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "grant free radio access iot networks scalability analysis in coexistence scenarios"
    - "network lifetime maximization for cellular based m2m networks"
    - "non orthogonal multiple access noma in cellular uplink and downlink challenges and enabling techniques"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "2d time frequency interference modelling using stochastic geometry for performance evaluation in low power wide area networks"
    - "interference and outage in clustered wireless ad hoc networks"

Connected through hyperedge HE-2 (induced by source paper "self organized low power iot networks a distributed learning approach"):
  with members:
    - "iot security techniques based on machine learning"
    - "grant free radio access iot networks scalability analysis in coexistence scenarios"
    - "low power wide area network analysis can lora scale"
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "the best of both worlds stochastic and adversarial bandits"

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)