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: "recent advances in fog radio access networks performance analysis and radio resource allocation"
  Abstract: As a promising paradigm for the fifth generation wireless communication (5G) system, the fog radio access network (F-RAN) has been proposed as an advanced socially-aware mobile networking architecture to provide high spectral efficiency (SE) while maintaining high energy efficiency (EE) and low latency. Recent advents are advocated to the performance analysis and radio resource allocation, both of which are fundamental issues to make F-RANs successfully rollout. This article comprehensively summarizes the recent advances of the performance analysis and radio resource allocation in F-RANs. Particularly, the advanced edge cache and adaptive model selection schemes are presented to improve SE and EE under maintaining a low latency level. The radio resource allocation strategies to optimize SE and EE in F-RANs are respectively proposed. A few open issues in terms of the F-RAN based 5G architecture and the social-awareness technique are identified as well.

Connected through hyperedge HE-1 (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"

Connected through hyperedge HE-2 (induced by source paper "survey on multi access edge computing for internet of things realization"):
  with members:
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "knowledge defined networking"
    - "hyperprofile based computation offloading for mobile edge networks"
    - "a survey on mobile edge computing the communication perspective"
    - "emm energy aware mobility management for mobile edge computing in ultra dense networks"
    - "realizing icn in 3gpp s 5g nextgen core architecture"

Connected through hyperedge HE-3 (induced by source paper "reinforcement learning based resource allocation in fog ran for iot with heterogeneous latency requirements"):
  with members:
    - "optimizing the number of fog nodes for cloud fog thing networks"
    - "resource allocation in noma based fog radio access networks"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "joint optimization of cloud and edge processing for fog radio access networks"
    - "cluster content caching an energy efficient approach to improve quality of service in cloud radio access networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"

Connected through hyperedge HE-4 (induced by source paper "efficient virtual network function placement strategies for cloud radio access networks"):
  with members:
    - "optimal virtual network function placement in multi cloud service function chaining architecture"
    - "resource allocation in cloud radio access networks with device to device communications"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "inter tier interference suppression in heterogeneous cloud radio access networks"
    - "cloud radio access networks with coded caching"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"

Connected through hyperedge HE-5 (induced by source paper "reinforcement learning based resource allocation in fog radio access networks for various iot environments"):
  with members:
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "cluster content caching an energy efficient approach to improve quality of service in cloud radio access networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "delay aware uplink fronthaul allocation in cloud radio access networks"

Connected through hyperedge HE-6 (induced by source paper "an evolutionary game for user access mode selection in fog radio access networks"):
  with members:
    - "fog computing based radio access networks issues and challenges"
    - "recent advances in cloud radio access networks system architectures key techniques and open issues"
    - "user access mode selection in fog computing based radio access networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "ergodic capacity analysis of remote radio head associations in cloud radio access networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "network slicing in fog radio access networks issues and challenges"):
  with members:
    - "fog computing based radio access networks issues and challenges"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"

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)