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: "distributed resource allocation in 5g cellular networks"
  Abstract: Future wireless networks are expected to be highly heterogeneous, with the co‐existence of macrocells and small cells as well as the provisioning for device‐to‐device communication. In such heterogeneous and multi‐tier systems, centralized radio resource allocation and interference management schemes will not be scalable. Therefore, distributed resource allocation schemes will need to be designed. However, designing such distributed schemes is one of the fundamental research challenges for 5G multi‐tier cellular wireless networks. After a brief overview of 5G cellular systems, this chapter highlights three novel approaches that can be used to solve the distributed‐resource allocation problems in future heterogeneous networks. Specifically, we utilize the concepts of stable matching, factor‐graph‐based message passing, and distributed auctions and show their effectiveness in obtaining distributed solutions to the resource allocation problem. To this end, a brief qualitative comparison in terms of performance metrics, such as complexity, convergence, and signaling overhead, is presented.

Connected through hyperedge HE-1 (induced by source paper "on maximizing task throughput in iot enabled 5g networks under latency and bandwidth constraints"):
  with members:
    - "fog computing based radio access networks issues and challenges"

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.NI(Networking and Internet Architecture)