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: "network evolution and qos provisioning for integrated femtocell macrocell networks"
  Abstract: Integrated femtocell/macrocell networks, comprising a conventional cellular network overlaid with femtocells, offer an economically appealing way to improve coverage, quality of service, and access network capacity. The key element to successful femtocells/macrocell integration lies in its self-organizing capability. Provisioning of quality of service is the main technical challenge of the femtocell/macrocell integrated networks, while the main administrative challenge is the choice of the proper evolutionary path from the existing macrocellular networks to the integrated network. In this article, we introduce three integrated network architectures which, while increasing the access capacity, they also reduce the deployment and operational costs. Then, we discuss a number of technical issues, which are key to making such integration a reality, and we offer possible approaches to their solution. These issues include efficient frequency and interference management, quality of service provisioning of the xDSL-based backhaul networks, and intelligent handover control.

Connected through hyperedge HE-1 (induced by source paper "algorithms for nash and pareto equilibria for resource allocation in multiple femtocells"):
  with members:
    - "green cellular networks a survey some research issues and challenges"
    - "femtocell networks a survey"

Connected through hyperedge HE-2 (induced by source paper "adaptive resource management for multimedia applications in femtocellular and macrocellular networks"):
  with members:
    - "handover between macrocell and femtocell for umts based networks"
    - "call admission control based on adaptive bandwidth allocation for wireless networks"
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "self optimized coverage coordination in femtocell networks"
    - "interference mitigation using dynamic frequency re use for dense femtocell network architectures"
    - "femtocell networks a survey"

Connected through hyperedge HE-3 (induced by source paper "handover management in high dense femtocellular networks"):
  with members:
    - "handover between macrocell and femtocell for umts based networks"
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "self optimized coverage coordination in femtocell networks"
    - "femtocell networks a survey"

Connected through hyperedge HE-4 (induced by source paper "intelligent interference management based on on demand service connectivity for femtocellular networks"):
  with members:
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"
    - "femtocell networks a survey"

Connected through hyperedge HE-5 (induced by source paper "call admission control and traffic modeling for integrated macrocell femtocell networks"):
  with members:
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"

Connected through hyperedge HE-6 (induced by source paper "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"):
  with members:
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "femtocell networks a survey"

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)