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: "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"
  Abstract: Data aggregation is a promising approach to enable massive machine-type communication (mMTC). This paper focuses on the aggregation phase where a massive number of machine-type devices (MTDs) transmit to aggregators. By using non-orthogonal multiple access (NOMA) principles, we allow several MTDs to share the same orthogonal channel in our proposed hybrid access scheme. We develop an analytical framework based on stochastic geometry to investigate the system performance in terms of average success probability and average number of simultaneously served MTDs, under imperfect successive interference cancellation (SIC) at the aggregators, for two scheduling schemes: random resource scheduling (RRS) and channel-aware resource scheduling (CRS). We identify the power constraints on the MTDs sharing the same channel to attain a fair coexistence with purely orthogonal multiple access (OMA) setups, then power control coefficients are found so that these MTDs perform with similar reliability. We show that under high access demand, the hybrid scheme with CRS outperforms the OMA setup by simultaneously serving more MTDs with reduced power consumption.

Connected through hyperedge HE-1 (induced by source paper "spatio temporal modeling for massive and sporadic access"):
  with members:
    - "tradeoff between delay and physical layer security in wireless networks"
    - "random access analysis for massive iot networks under a new spatio temporal model a stochastic geometry approach"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"
    - "spatial spectrum and energy efficiency of random cellular networks"

Connected through hyperedge HE-2 (induced by source paper "spectrum sharing for massive access in ultra narrowband iot systems"):
  with members:
    - "sparse signal processing for grant free massive connectivity a future paradigm for random access protocols in the internet of things"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "low power wide area networks an overview"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"
    - "transmission capacity of wireless networks"

Connected through hyperedge HE-3 (induced by source paper "distributed rate control in downlink noma networks with reliability constraints"):
  with members:
    - "joint power control and rate allocation enabling ultra reliability and energy efficiency in simo wireless networks"
    - "hybrid resource scheduling for aggregation in massive machine type communication networks"
    - "rate control under finite blocklength for downlink cellular networks with reliability constraints"
    - "energy efficient resource allocation in noma heterogeneous networks"
    - "signal processing for mimo noma present and future challenges"
    - "non orthogonal multiple access for cooperative communications challenges opportunities and trends"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "non orthogonal multiple access in large scale heterogeneous networks"

Connected through hyperedge HE-4 (induced by source paper "hybrid resource scheduling for aggregation in massive machine type communication networks"):
  with members:
    - "finite blocklength communications in smart grids for dynamic spectrum access and locally licensed scenarios"
    - "massive multiple access based on superposition raptor codes for cellular m2m communications"
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "optimizing data aggregation for uplink machine to machine communication networks"

Connected through hyperedge HE-5 (induced by source paper "energy internet via packetized management enabling technologies and deployment challenges"):
  with members:
    - "event based electricity metering an autonomous method to determine transmission thresholds"
    - "finite blocklength communications in smart grids for dynamic spectrum access and locally licensed scenarios"
    - "sparse signal processing for grant free massive connectivity a future paradigm for random access protocols in the internet of things"
    - "why smart appliances may result in a stupid energy grid"
    - "increasing the throughput of an unlicensed wireless network through retransmissions"
    - "narrowband iot data transmission procedures for massive machine type communications"
    - "multi layer analysis of iot based systems"
    - "self regulating supply demand systems"

Connected through hyperedge HE-6 (induced by source paper "on the benefits of network level cooperation in iot networks with aggregators"):
  with members:
    - "iot u cellular internet of things networks over unlicensed spectrum"
    - "performance analysis of a cooperative wireless network with adaptive relays"
    - "network level cooperation in random access iot networks with aggregators"
    - "performance analysis of uplink cellular iot using different deployments of data aggregators"
    - "on the benefits of network level cooperation in millimeter wave communications"
    - "wireless network level partial relay cooperation a stable throughput analysis"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "effect of energy harvesting on stable throughput in cooperative relay systems"

Connected through hyperedge HE-7 (induced by source paper "network level cooperation in random access iot networks with aggregators"):
  with members:
    - "stable throughput and delay analysis of a random access network with queue aware transmission"
    - "wireless network level partial relay cooperation a stable throughput analysis"
    - "allocation of heterogeneous resources of an iot device to flexible services"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "effect of energy harvesting on stable throughput in cooperative relay systems"
    - "optimizing data aggregation for uplink machine to machine communication networks"
    - "network level performance evaluation of a two relay cooperative random access wireless system"
    - "network level cooperation in energy harvesting 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.IT(Information Theory)