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: "modeling cellular networks with full duplex d2d communication a stochastic geometry approach"
  Abstract: Full-duplex (FD) communication is optimistically promoted to double the spectral efficiency if sufficient self-interference cancellation (SIC) is achieved. However, this is not true when deploying FD-communication in a large-scale setup due to the induced mutual interference. Therefore, a large-scale study is necessary to draw legitimate conclusions about gains associated with FD-communication. This paper studies the FD operation for underlay device-to-device (D2D) communication sharing the uplink resources in cellular networks. We propose a disjoint fine-tuned selection criterion for the D2D and FD modes of operation. Then, we develop a tractable analytical paradigm, based on stochastic geometry, to calculate the outage probability and rate for cellular and D2D users. The results reveal that even in the case of perfect SIC, due to the increased interference injected to the network by FD-D2D communication, having all proximity UEs transmit in FD-D2D is not beneficial for the network. However, if the system parameters are carefully tuned, non-trivial network spectral-efficiency gains (64 shown) can be harvested. We also investigate the effects of imperfect SIC and D2D-link distance distribution on the harvested FD gains.

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"
    - "an analytical framework for device to device communication in cellular networks"
    - "operational region of d2d communications for enhancing cellular network performance"
    - "device to device communication underlaying a finite cellular network region"
    - "spectrum sharing for device to device communication in cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "self organized scheduling request for uplink 5g networks a d2d clustering approach"):
  with members:
    - "power control and channel allocation for d2d underlaid cellular networks"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of joint pairing and mode selection in d2d communications with fd radios"):
  with members:
    - "a novel device to device discovery scheme for underlay cellular networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "throughput analysis for wireless networks with full duplex radios"

Connected through hyperedge HE-4 (induced by source paper "cross mode interference characterization in cellular networks with voronoi guard regions"):
  with members:
    - "user point processes in cellular networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "poisson hole process theory and applications to wireless networks"
    - "decentralized opportunistic access for d2d underlaid cellular networks"
    - "an analytical framework for device to device communication in cellular networks"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"
    - "operational region of d2d communications for enhancing cellular network performance"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"

Connected through hyperedge HE-5 (induced by source paper "cooperative harq assisted noma scheme in large scale d2d networks"):
  with members:
    - "rapro a novel 5g rapid prototyping system architecture"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "a minorization maximization method for optimizing sum rate in the downlink of non orthogonal multiple access systems"
    - "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems"
    - "cooperative relaying under spatially and temporally correlated interference"
    - "fairness for non orthogonal multiple access in 5g systems"

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)