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 millimeter wave communications interference coverage rate and finite topologies"
  Abstract: Emerging applications involving device-to-device communication among wearable electronics require gigabits per second throughput, which can be achieved by utilizing millimeter-wave (mmWave) frequency bands. When many such communicating devices are indoors in close proximity, such as in a train, car, or airplane cabin, interference can be a serious impairment. This paper uses stochastic geometry to analyze the performance of mmWave networks with a finite number of interferers in a finite network region. Prior work considered either lower carrier frequencies with different antenna and channel assumptions, or a network with an infinite spatial extent. In this paper, human users not only carry potentially interfering devices, but also act to block interfering signals. Using a sequence of simplifying assumptions, accurate expressions for coverage and rate are developed that capture the effects of key antenna characteristics, such as directivity and gain, and are a function of the finite area and number of users. The assumptions are validated through a combination of analysis and simulation. The main conclusions are that mmWave frequencies can provide gigabits per second throughput even with omni-directional transceiver antennas, and larger, more directive antenna arrays give better system performance.

Connected through hyperedge HE-1 (induced by source paper "performance analysis of indoor mmwave networks with ceiling mounted access points"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage and spectral efficiency of indoor mmwave networks with ceiling mounted access points"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "analysis of blockage effects on urban cellular networks"

Connected through hyperedge HE-2 (induced by source paper "a unified spatial framework for uav aided mmwave networks"):
  with members:
    - "cache enabled hetnets with millimeter wave small cells"
    - "securing uav communications via joint trajectory and power control"
    - "online learning for position aided millimeter wave beam training"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "robust trajectory and transmit power design for secure uav communications"
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"

Connected through hyperedge HE-3 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications"):
  with members:
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "optimal resource allocation in multicast device to device communications underlaying lte networks"
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "a tractable framework for the analysis of dense heterogeneous cellular networks"
    - "energy efficient power control a look at 5g wireless technologies"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "an analytical framework for device to device communication in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "millimeter wave massive mimo downlink per group communications with hybrid linear precoding"):
  with members:
    - "accurately accounting for random blockage in device to device mmwave networks"
    - "downlink precoding for massive mimo systems exploiting virtual channel model sparsity"
    - "linear precoding for the mimo multiple access channel with finite alphabet inputs and statistical csi"
    - "joint spatial division and multiplexing for mm wave channels"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-5 (induced by source paper "content placement in cache enabled sub 6 ghz and millimeter wave multi antenna dense small cell networks"):
  with members:
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "modeling and analyzing millimeter wave cellular systems"
    - "caching meets millimeter wave communications for enhanced mobility management in 5g networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "a tractable framework for performance analysis of dense multi antenna networks"
    - "a new look at physical layer security caching and wireless energy harvesting for heterogeneous ultra dense networks"
    - "antenna count for massive mimo 1 9 ghz versus 60 ghz"
    - "on optimal geographical caching in heterogeneous cellular networks"

Connected through hyperedge HE-6 (induced by source paper "federated echo state learning for minimizing breaks in presence in wireless virtual reality networks"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "computation scheduling for distributed machine learning with straggling workers"
    - "towards federated learning at scale system design"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "communication computing and caching for mobile vr delivery modeling and trade off"
    - "learning to communicate in uav aided wireless networks map based approaches"
    - "edge computing meets millimeter wave enabled vr paving the way to cutting the cord"
    - "analysis of memory capacity for deep echo state networks"

Connected through hyperedge HE-7 (induced by source paper "stochastic geometry modeling and analysis of finite millimeter wave wireless networks"):
  with members:
    - "spectral efficiency analysis of multi cell massive mimo systems with ricean fading"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "enclosed mmwave wearable networks feasibility and performance"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "performance analysis of outdoor mmwave ad hoc networks"

Connected through hyperedge HE-8 (induced by source paper "power beacon assisted millimeter wave ad hoc networks"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "adaptively directional wireless power transfer for large scale sensor networks"
    - "performance analysis of outdoor mmwave ad hoc networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "communications and signals design for wireless power transmission"
    - "ambient rf energy harvesting in ultra dense small cell networks performance and trade offs"
    - "millimeter wave energy harvesting"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave 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)