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: "reliable reporting for massive m2m communications with periodic resource pooling"
  Abstract: This letter considers a wireless M2M communication scenario with a massive number of M2M devices. Each device needs to send its reports within a given deadline and with certain reliability, e. g. 99.99%. A pool of resources available to all M2M devices is periodically available for transmission. The number of transmissions required by an M2M device within the pool is random due to two reasons - random number of arrived reports since the last reporting opportunity and requests for retransmission due to random channel errors. We show how to dimension the pool of M2M-dedicated resources in order to guarantee the desired reliability of the report delivery within the deadline. The fact that the pool of resources is used by a massive number of devices allows to base the dimensioning on the central limit theorem. The results are interpreted in the context of LTE, but they are applicable to any M2M communication system.

Connected through hyperedge HE-1 (induced by source paper "sleeping multi armed bandit learning for fast uplink grant allocation in machine type communications"):
  with members:
    - "fast uplink grant for machine type communications challenges and opportunities"
    - "deep learning for signal authentication and security in massive internet of things systems"
    - "random access schemes in wireless systems with correlated user activity"
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "virtual reality over wireless networks quality of service model and learning based resource management"
    - "deep learning based dynamic watermarking for secure signal authentication in the internet of things"
    - "distributed user association in energy harvesting small cell networks a probabilistic bandit model"
    - "cognitive hierarchy theory for distributed resource allocation in the internet of things"

Connected through hyperedge HE-2 (induced by source paper "distributed learning for low latency machine type communication in a massive internet of things"):
  with members:
    - "cognitive lpwan towards intelligent wireless services in hybrid low power wide area networks"
    - "label less learning for traffic control in an edge network"
    - "lte lte a random access for massive machine type communications in smart cities"
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "learning with finite memory for machine type communication"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "what can wireless cellular technologies do about the upcoming smart metering traffic"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"

Connected through hyperedge HE-3 (induced by source paper "reliable and efficient access for alarm initiated and regular m2m traffic in ieee 802 11ah systems"):
  with members:
    - "massive m2m access with reliability guarantees in lte systems"
    - "reengineering gsm gprs towards a dedicated network for massive smart metering"
    - "capacity analysis of ieee 802 11ah wlans for m2m communications"

Connected through hyperedge HE-4 (induced by source paper "learning how to communicate in the internet of things finite resources and heterogeneity"):
  with members:
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "learning with finite memory for machine type communication"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"
    - "towards massive ultra reliable and low latency wireless communication with short packets"
    - "wireless communications in the era of big data"
    - "towards massive machine type cellular communications"
    - "towards a consumer centric grid a behavioral perspective"

Connected through hyperedge HE-5 (induced by source paper "energy efficient scheduling and grouping for machine type communications over cellular networks"):
  with members:
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap"
    - "aggregation and trunking of m2m traffic via d2d connections"
    - "a survey on device to device communication in cellular networks"
    - "zero outage cellular downlink with fixed rate d2d underlay"
    - "power efficient system design for cellular based machine to machine communications"

Connected through hyperedge HE-6 (induced by source paper "machine to machine m2m communications in software defined and virtualized cellular networks"):
  with members:
    - "next generation m2m cellular networks challenges and practical considerations"
    - "distributed virtual resource allocation in small cell networks with full duplex self backhauls and virtualization"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"

Connected through hyperedge HE-7 (induced by source paper "e 2 mac energy efficient medium access for massive m2m communications"):
  with members:
    - "design of a scalable hybrid mac protocol for heterogeneous m2m networks"
    - "power efficient system design for cellular based machine to machine communications"
    - "random deployment of data collectors for serving randomly located sensors"

Connected through hyperedge HE-8 (induced by source paper "a survey on 5g the next generation of mobile communication"):
  with members:
    - "effective rat selection approach for 5g dense wireless networks"
    - "on detecting termination in cognitive radio networks"
    - "analysis of the decoupled access for downlink and uplink in wireless heterogeneous networks"
    - "5g wireless backhaul networks challenges and research advances"
    - "a survey on device to device communication in cellular networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "scma for downlink multiple access of 5g wireless networks"
    - "uplink contention based scma for 5g radio access"

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)