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: "a geometrical based throughput bound analysis for device to device communications in cellular networks"
  Abstract: Device-to-device (D2D) communications in cellular networks are promising technologies for improving network throughput, spectrum efficiency, and transmission delay. In this paper, we first introduce the concept of guard distance to explore a proper system model for enabling multiple concurrent D2D pairs in the same cell. Considering the Signal to Interference Ratio (SIR) requirements for both macro-cell and D2D communications, a geometrical method is proposed to obtain the guard distances from a D2D user equipment (DUE) to the base station (BS), to the transmitting cellular user equipment (CUE), and to other communicating D2D pairs, respectively, when the uplink resource is reused. By utilizing the guard distances, we then derive the bounds of the maximum throughput improvement provided by D2D communications in a cell. Extensive simulations are conducted to demonstrate the impact of different parameters on the optimal maximum throughput. We believe that the obtained results can provide useful guidelines for the deployment of future cellular networks with underlaying D2D communications.

Connected through hyperedge HE-1 (induced by source paper "connectivity of underlay cognitive radio networks with directional antennas"):
  with members:
    - "on the performance analysis of underlay cognitive radio systems a deployment perspective"
    - "stochastic geometry modeling and performance evaluation of mmwave cellular communications"
    - "directional antennas improve the link connectivity of interference limited ad hoc networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "wideband spectrum sensing for cognitive radio networks a survey"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "interference exploitation in full duplex communications trading interference power for both uplink and downlink power savings"):
  with members:
    - "probabilistically robust swipt for secrecy misome systems"
    - "unraveling the rank one solution mystery of robust miso downlink transmit optimization a verifiable sufficient condition via a new duality result"
    - "transmit precoding for interference exploitation in the underlay cognitive radio z channel"
    - "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
    - "symbol level multiuser miso precoding for multi level adaptive modulation"
    - "multi objective resource allocation in full duplex swipt systems"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"

Connected through hyperedge HE-3 (induced by source paper "modeling and analysis of scma enhanced d2d and cellular hybrid network"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "scma codebook design"
    - "cognitive and energy harvesting based d2d communication in cellular networks stochastic geometry modeling and analysis"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"
    - "spectrum sharing between cellular and mobile ad hoc networks transmission capacity trade off"

Connected through hyperedge HE-4 (induced by source paper "device to device communication underlaying a finite cellular network region"):
  with members:
    - "performance analysis of arbitrarily shaped underlay cognitive networks effects of secondary user activity protocols"
    - "an analytical framework for device to device communication in cellular networks"
    - "operational region of d2d communications for enhancing cellular network performance"
    - "on fundamental trade offs of device to device communications in large wireless networks"
    - "renewable powered cellular networks energy field modeling and network coverage"
    - "a survey on device to device communication in cellular networks"
    - "downlink cellular network analysis with multi slope path loss models"
    - "spectrum sharing for device to device communication in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "an analytical framework for device to device communication in cellular networks"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "what will 5g be"
    - "resource optimization in device to device cellular systems using time frequency hopping"
    - "spectrum sharing scheme between cellular users and ad hoc device to device users"
    - "five disruptive technology directions for 5g"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"
    - "analytical modeling of uplink cellular networks"

Connected through hyperedge HE-6 (induced by source paper "spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas"):
  with members:
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "downlink cellular network analysis with multi slope path loss models"
    - "the performance of successive interference cancellation in random wireless networks"
    - "on the optimality of treating interference as noise"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "spatial interference cancellation for multi antenna mobile ad hoc networks"
    - "fractional power control for decentralized 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.NI(Networking and Internet Architecture)