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 survey on device to device communication in cellular networks"
  Abstract: Device-to-device (D2D) communications was initially proposed in cellular networks as a new paradigm for enhancing network performance. The emergence of new applications such as content distribution and location-aware advertisement introduced new user cases for D2D communications in cellular networks. The initial studies showed that D2D communications has advantages such as increased spectral efficiency and reduced communication delay. However, this communication mode introduces complications in terms of interference control overhead and protocols that are still open research problems. The feasibility of D2D communications in Long-Term Evolution Advanced is being studied by academia, industry, and standardization bodies. To date, there are more than 100 papers available on D2D communications in cellular networks, but there is no survey on this field. In this paper, we provide a taxonomy based on the D2D communicating spectrum and review the available literature extensively under the proposed taxonomy. Moreover, we provide new insights into the over-explored and under-explored areas that lead us to identify open research problems of D2D communications in cellular networks.

Connected through hyperedge HE-1 (induced by source paper "simultaneous energy harvesting and information transmission in a mimo full duplex system a machine learning based design"):
  with members:
    - "generalized coordinated multipoint gcomp enabled noma outage capacity and power allocation"
    - "spectral and energy efficiency of uplink d2d underlaid massive mimo cellular networks"
    - "compact full duplex mimo radios in d2d underlaid cellular networks from system design to prototype results"
    - "a general design framework for mimo wireless energy transfer with limited feedback"
    - "continuous control with deep reinforcement learning"
    - "deep reinforcement learning with double q learning"
    - "in band full duplex wireless challenges and opportunities"
    - "wireless information and power transfer a dynamic power splitting approach"

Connected through hyperedge HE-2 (induced by source paper "learning to branch accelerating resource allocation in wireless networks"):
  with members:
    - "learning to optimize training deep neural networks for interference management"
    - "multi tenant cross slice resource orchestration a deep reinforcement learning approach"
    - "deep reinforcement learning based resource allocation for v2v communications"
    - "energy efficient joint resource allocation and power control for d2d communications"
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-3 (induced by source paper "malware propagation in urban d2d networks"):
  with members:
    - "percolation for d2d networks on street systems"
    - "the typical cell in anisotropic tessellations"

Connected through hyperedge HE-4 (induced by source paper "analysis of selective decode and forward relaying protocol over kappa mu fading channel distribution"):
  with members:
    - "outage probability analysis of selective decode and forward cooperative wireless network over time varying fading channels with node mobility and imperfect csi condition"
    - "a survey on low latency towards 5g ran core network and caching solutions"

Connected through hyperedge HE-5 (induced by source paper "a survey of rate optimal power domain noma schemes for enabling technologies of future wireless networks"):
  with members:
    - "generalized coordinated multipoint gcomp enabled noma outage capacity and power allocation"
    - "what role can noma play in massive mimo"
    - "uav data collection over noma backscatter networks uav altitude and trajectory optimization"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "when full duplex wireless meets non orthogonal multiple access opportunities and challenges"
    - "on optimizing vlc networks for downlink multi user transmission a survey"
    - "beam design and user scheduling for nonorthogonal multiple access with multiple antennas based on pareto optimality"
    - "spatial modulation assisted multi antenna non orthogonal multiple access"

Connected through hyperedge HE-6 (induced by source paper "unmanned aerial vehicles uavs a survey on civil applications and key research challenges"):
  with members:
    - "resource allocation for solar powered uav communication systems"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "indoor mobile coverage problem using uavs"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "wireless communication using unmanned aerial vehicles uavs optimal transport theory for hover time optimization"
    - "efficient 3d placement of a uav using particle swarm optimization"
    - "placement optimization of uav mounted mobile base stations"

Connected through hyperedge HE-7 (induced by source paper "device to device coded caching with distinct cache sizes"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "device to device secure coded caching"
    - "on coded caching with heterogeneous distortion requirements"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "optimization of heterogeneous coded caching"
    - "coded caching in partially cooperative d2d communication networks"
    - "a novel index coding scheme and its application to coded caching"

Connected through hyperedge HE-8 (induced by source paper "how much can d2d communication reduce content delivery latency in fog networks with edge caching"):
  with members:
    - "cloud aided interference management with cache enabled edge nodes and users"
    - "delivery time minimization in cache assisted broadcast relay wireless networks with imperfect csi"
    - "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"
    - "information theoretic analysis of d2d aided pipelined content delivery in fog ran"
    - "cache aided fog radio access networks with partial connectivity"
    - "fundamental latency limits for d2d aided content delivery in fog wireless networks"
    - "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

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.GT(Computer Science and Game Theory)