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: "5g mobile cellular networks enabling distributed state estimation for smart grids"
  Abstract: With transition towards 5G, mobile cellular networks are evolving into a powerful platform for ubiquitous large-scale information acquisition, communication, storage and processing. 5G will provide suitable services for mission-critical and real-time applications such as the ones envisioned in future Smart Grids. In this work, we show how emerging 5G mobile cellular network, with its evolution of Machine-Type Communications and the concept of Mobile Edge Computing, provides an adequate environment for distributed monitoring and control tasks in Smart Grids. In particular, we present in detail how Smart Grids could benefit from advanced distributed State Estimation methods placed within 5G environment. We present an overview of emerging distributed State Estimation solutions, focusing on those based on distributed optimization and probabilistic graphical models, and investigate their integration as part of the future 5G Smart Grid services.

Connected through hyperedge HE-1 (induced by source paper "finite blocklength communications in smart grids for dynamic spectrum access and locally licensed scenarios"):
  with members:
    - "ultra reliable cooperative short packet communications with wireless energy transfer"
    - "ultra reliable communication via optimum power allocation for type i arq in finite block length"
    - "convolutive superposition for multicarrier cognitive radio systems"
    - "maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "contention based geographic forwarding strategies for wireless sensors networks"
    - "next generation m2m cellular networks challenges and practical considerations"
    - "a survey on internet of things from industrial market perspective"

Connected through hyperedge HE-2 (induced by source paper "internet of things aided smart grid technologies architectures applications prototypes and future research directions"):
  with members:
    - "a cloud based and restful internet of things platform to foster smart grid technologies integration and re usability"
    - "an internet of things framework for smart energy in buildings designs prototype and experiments"
    - "context aware computing for the internet of things a survey"
    - "smart grid communications overview of research challenges solutions and standardization activities"
    - "relaying technologies for smart grid communications"
    - "internet of things applications and challenges in technology and standardization"

Connected through hyperedge HE-3 (induced by source paper "linear state estimation via 5g c ran cellular networks using gaussian belief propagation"):
  with members:
    - "distributed gauss newton method for ac state estimation using belief propagation"
    - "scalable uplink signal detection in c rans via randomized gaussian message passing"

Connected through hyperedge HE-4 (induced by source paper "distributed gauss newton method for ac state estimation using belief propagation"):
  with members:
    - "fast real time dc state estimation in electric power systems using belief propagation"
    - "residual belief propagation informed scheduling for asynchronous message passing"

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)