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: "dynamic popular content distribution in vehicular networks using coalition formation games"
  Abstract: Driven by both safety concerns and commercial interests, vehicular ad hoc networks (VANETs) have recently received considerable attentions. In this paper, we address popular content distribution (PCD) in VANETs, in which one large popular file is downloaded from a stationary roadside unit (RSU), by a group of on-board units (OBUs) driving through an area of interest (AoI) along a highway. Due to high speeds of vehicles and deep fadings of vehicle-to-roadside (V2R) channels, some of the vehicles may not finish downloading the entire file but only possess several pieces of it. To successfully send a full copy to each OBU, we propose a cooperative approach based on the coalition formation games, in which OBUs exchange their possessed pieces by broadcasting to and receiving from their neighbors. Simulation results show that our proposed approach presents a considerable performance improvement relative to the non-cooperative approach, in which the OBUs broadcast randomly selected pieces to their neighbors as along as the spectrum is detected to be unoccupied.

Connected through hyperedge HE-1 (induced by source paper "sub channel allocation for device to device underlaying full duplex mmwave small cells using coalition formation games"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "full duplex amplify and forward relaying power and location optimization"
    - "joint power allocation and beamforming for non orthogonal multiple access noma in 5g millimeter wave communications"
    - "full duplex millimeter wave communication"
    - "game theoretic dynamic channel allocation for frequency selective interference channels"
    - "leveraging social communities for optimizing cellular device to device communications"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"

Connected through hyperedge HE-2 (induced by source paper "computation offloading and content caching delivery in vehicular edge computing a survey"):
  with members:
    - "spectrum resource management for multi access edge computing in autonomous vehicular networks"
    - "adaptive learning based task offloading for vehicular edge computing systems"
    - "concurrent transmission scheduling for perceptual data sharing in mmwave vehicular networks"
    - "game theory for multi access edge computing survey use cases and future trends"
    - "vehicular edge computing via deep reinforcement learning"
    - "mobile edge intelligence and computing for the internet of vehicles"
    - "sdn based resource management for autonomous vehicular networks a multi access edge computing approach"
    - "joint offloading and resource allocation in vehicular edge computing and networks"

Connected through hyperedge HE-3 (induced by source paper "resource allocation for device to device communications underlaying heterogeneous cellular networks using coalitional games"):
  with members:
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "full duplex millimeter wave communication"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "efficiency resource allocation for device to device underlay communication systems a reverse iterative combinatorial auction based approach"

Connected through hyperedge HE-4 (induced by source paper "v2x meets noma non orthogonal multiple access for 5g enabled vehicular networks"):
  with members:
    - "sub channel assignment power allocation and user scheduling for non orthogonal multiple access networks"
    - "sub channel and power allocation for non orthogonal multiple access relay networks with amplify and forward protocol"
    - "full duplex mac protocol design and analysis"
    - "uplink contention based scma for 5g radio access"
    - "efficiency resource allocation for device to device underlay communication systems a reverse iterative combinatorial auction based approach"

Connected through hyperedge HE-5 (induced by source paper "energy efficient resource allocation and user scheduling for collaborative mobile clouds with hybrid receivers"):
  with members:
    - "energy efficient resource allocation in multiuser ofdm systems with wireless information and power transfer"
    - "energy efficient optimization for wireless information and power transfer in large scale mimo systems employing energy beamforming"
    - "cooperative energy harvesting networks with spatially random users"
    - "simultaneous information and power transfer for broadband wireless systems"
    - "optimal power allocation for energy harvesting and power grid coexisting wireless communication systems"
    - "wireless information and power transfer energy efficiency optimization in ofdma systems"
    - "wireless information transfer with opportunistic energy harvesting"
    - "wireless information and power transfer architecture design and rate energy tradeoff"

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)