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: "device to device communication underlaying a finite cellular network region"
  Abstract: Underlay in-band device-to-device (D2D) communication can improve the spectrum efficiency of cellular networks. However, the coexistence of D2D and cellular users causes inter-cell and intra-cell interference. The former can be effectively managed through inter-cell interference coordination and, therefore, is not considered in this work. Instead, we focus on the intra-cell interference and propose a D2D mode selection scheme to manage it inside a finite cellular network region. The potential D2D users are controlled by the base station (BS) to operate in D2D mode based on the average interference generated to the BS. Using stochastic geometry, we study the outage probability experienced at the BS and a D2D receiver, and spectrum reuse ratio, which quantifies the average fraction of successfully transmitting D2D users. The analysis shows that the outage probability at the D2D receiver varies for different locations. Additionally, without impairing the performance at the BS, if the path-loss exponent on the cellular link is slightly lower than that on the D2D link, the spectrum reuse ratio can have negligible decrease while the D2D users' average number of successful transmissions increases with increasing D2D node density. This indicates that an increasing level of D2D communication can be beneficial in future networks..

Connected through hyperedge HE-1 (induced by source paper "d2d multicast in underlay cellular networks with exclusion zones"):
  with members:
    - "optimal resource allocation in multicast device to device communications underlaying lte networks"
    - "a stochastic geometric analysis of device to device communications operating over generalized fading channels"
    - "poisson hole process theory and applications to wireless networks"
    - "modeling cellular networks with full duplex d2d communication a stochastic geometry approach"
    - "an analytical framework for device to device communication in cellular networks"
    - "operational region of d2d communications for enhancing cellular network performance"
    - "spectrum sharing for device to device communication in cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "coded caching clusters with device to device communications"):
  with members:
    - "mobility increases the data offloading ratio in d2d caching networks"
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "spatially correlated content caching for device to device communications"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "wireless content caching for small cell and d2d networks"
    - "energy costs for traffic offloading by cache enabled d2d communications"

Connected through hyperedge HE-3 (induced by source paper "massive machine type communication with data aggregation and resource scheduling"):
  with members:
    - "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"
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "a delay optimal mac and packet scheduler for heterogeneous m2m uplink"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "random cell association and void probability in poisson distributed cellular networks"

Connected through hyperedge HE-4 (induced by source paper "modeling cellular networks with full duplex d2d communication a stochastic geometry approach"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "limits on the capacity of in band full duplex communication in uplink cellular networks"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"
    - "in band alpha duplex scheme for cellular networks a stochastic geometry approach"
    - "stochastic geometry modeling of cellular networks analysis simulation and experimental validation"
    - "a survey on device to device communication in cellular networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "spectrum sharing for device to device communication in cellular 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)