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: "mean field games for distributed caching in ultra dense small cell networks"
  Abstract: In this paper, the problem of distributed caching in dense wireless small cell networks (SCNs) is studied using mean field games (MFGs). In the considered SCN, small base stations (SBSs) are equipped with data storage units and cooperate to serve users' requests either from files cached in the storage or directly from the capacity-limited backhaul. The aim of the SBSs is to define a caching policy that reduces the load on the capacity-limited backhaul links. This cache control problem is formulated as a stochastic differential game (SDG). In this game, each SBS takes into consideration the storage state of the other SBSs to decide on the fraction of content it should cache. To solve this problem, the formulated SDG is reduced to an MFG by considering an ultra-dense network of SBSs in which the existence and uniqueness of the mean-field equilibrium is shown to be guaranteed. Simulation results show that this framework allows an efficient use of the available storage space at the SBSs while properly tracking the files' popularity. The results also show that, compared to a baseline model in which SBSs are not aware of the instantaneous system state, the proposed framework increases the number of served files from the SBSs by more than 69%.

Connected through hyperedge HE-1 (induced by source paper "distributed edge caching via reinforcement learning in fog radio access networks"):
  with members:
    - "user preference learning based edge caching for fog radio access network"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "distributed edge caching in ultra dense fog radio access networks a mean field approach"
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "offloading content with self organizing mobile fogs"
    - "a cmdp based approach for energy efficient power allocation in massive mimo systems"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"

Connected through hyperedge HE-2 (induced by source paper "mean field game theoretic edge caching in ultra dense networks"):
  with members:
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "spatially correlated content caching for device to device communications"
    - "ultra dense small cell networks turning density into energy efficiency"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "wireless content caching for small cell and d2d networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "beyond the ultra dense barrier paradigm shifts on the road beyond 1000x wireless capacity"

Connected through hyperedge HE-3 (induced by source paper "social community aware content placement in wireless device to device communication networks"):
  with members:
    - "de anonymization of social networks with communities when quantifications meet algorithms"
    - "leveraging social communities for optimizing cellular device to device communications"
    - "cooperative device to device communications with caching"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "context aware small cell networks how social metrics improve wireless resource allocation"
    - "social data offloading in d2d enhanced cellular networks by network formation games"
    - "cooperative game theoretic solution concepts for top k problems"
    - "a survey on device to device communication in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "distributed edge caching in ultra dense fog radio access networks a mean field approach"):
  with members:
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "ultra dense edge caching under spatio temporal demand and network dynamics"

Connected through hyperedge HE-5 (induced by source paper "cache aided full duplex small cells"):
  with members:
    - "effect of user mobility on the performance of device to device networks with distributed caching"
    - "wireless caching technical misconceptions and business barriers"
    - "user scheduling and optimal power allocation for full duplex cellular networks"
    - "optimal low complexity self interference cancellation for full duplex mimo small cells"
    - "optimization and analysis of probabilistic caching in n tier heterogeneous networks"
    - "full duplex mimo small cell networks with interference cancellation"
    - "interference cancellation at receivers in cache enabled wireless networks"
    - "energy recycling full duplex radios for next generation networks"

Connected through hyperedge HE-6 (induced by source paper "ultra dense edge caching under spatio temporal demand and network dynamics"):
  with members:
    - "ultra dense small cell networks turning density into energy efficiency"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "wireless content caching for small cell and d2d networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"
    - "optimizing mds codes for caching at the edge"
    - "caching at the edge a green perspective for 5g networks"

Connected through hyperedge HE-7 (induced by source paper "echo state networks for proactive caching in cloud based radio access networks with mobile users"):
  with members:
    - "echo state networks for self organizing resource allocation in lte u with uplink downlink decoupling"
    - "joint millimeter wave fronthaul and ofdma resource allocation in ultra dense cran"
    - "optimal fronthaul quantization for cloud radio positioning"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "joint wireless fronthaul and ofdma resource allocation in ultra dense cran"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "cluster content caching an energy efficient approach to improve quality of service in cloud radio access networks"

Connected through hyperedge HE-8 (induced by source paper "joint caching and pricing strategies for popular content in information centric networks"):
  with members:
    - "echo state networks for proactive caching in cloud based radio access networks with mobile users"
    - "wireless device to device caching networks basic principles and system performance"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "a stackelberg game for incentive proactive caching mechanisms in wireless networks"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "big data meets telcos a proactive caching perspective"
    - "cooperative hierarchical caching in 5g cloud radio access networks c rans"

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)