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: "cost effective frequency planning for capacity enhancement of femtocellular networks"
  Abstract: The femto-access-point, a low-cost and small-size cellular base-station, is envisioned to be widely deployed in subscribers homes, as to provide high data-rate communications with improved quality of service. As femtocellular networks will co-exist with macrocellular networks, mitigation of the interference between these two network types is a key challenge for successful integration of these two technologies. In particular, there are several interference mechanisms between the femtocellular and the macrocellular networks, and the effects of the resulting interference depend on the density of femtocells and the overlaid macrocells in a particular coverage area. While improper interference management can cause a significant reduction in the system capacity and can increase the outage probability, effective and efficient frequency allocation among femtocells and macrocells can result in a successful co-existence of these two technologies. Furthermore, highly dense femtocellular deployments--the ultimate goal of the femtocellular technology--will require significant degree of self-organization in lieu of manual configuration. In this paper, we present various femtocellular network deployment scenarios, and we propose a number of frequency-allocation schemes to mitigate the interference and to increase the spectral efficiency of the integrated network. These schemes include: shared frequency band, dedicated frequency band, sub-frequency band, static frequency-reuse, and dynamic frequency-reuse. We derive an analytical model, which allows us to analyze in details the users outage probability, and we compare the performance of the proposed schemes using numerical analysis.

Connected through hyperedge HE-1 (induced by source paper "integrated rf optical wireless networks for improving qos in indoor and transportation applications"):
  with members:
    - "a new vehicle localization scheme based on combined optical camera communication and photogrammetry"
    - "game based approach for qos provisioning and interference management in heterogeneous networks"
    - "a comparative survey of optical wireless technologies architectures and applications"
    - "handover management in high dense femtocellular networks"

Connected through hyperedge HE-2 (induced by source paper "interference management based on rt nrt traffic classification for ffr aided small cell macrocell heterogeneous networks"):
  with members:
    - "game based approach for qos provisioning and interference management in heterogeneous networks"
    - "radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks"
    - "class based service connectivity using multi level bandwidth adaptation in multimedia wireless networks"
    - "call admission control based on adaptive bandwidth allocation for wireless networks"
    - "handover management in high dense femtocellular networks"

Connected through hyperedge HE-3 (induced by source paper "a game theoretical approach for qos provisioning in heterogeneous networks"):
  with members:
    - "call admission control based on adaptive bandwidth allocation for wireless networks"
    - "open vs closed access femtocells in the uplink"
    - "power control in two tier femtocell networks"
    - "uplink capacity and interference avoidance for two tier femtocell networks"

Connected through hyperedge HE-4 (induced by source paper "game based approach for qos provisioning and interference management in heterogeneous networks"):
  with members:
    - "load balancing in two tier cellular networks with open and hybrid access femtocells"
    - "femtocell networks a survey"
    - "uplink user capacity in a cdma system with hotspot microcells effects of finite transmit power and dispersion"

Connected through hyperedge HE-5 (induced by source paper "interference mitigation and capacity enhancement based on dynamic frequency reuse for femtocell networks"):
  with members:
    - "radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks"
    - "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"

Connected through hyperedge HE-6 (induced by source paper "on demand cell sectoring based fractional frequency reuse in wireless networks"):
  with members:
    - "call admission control based on adaptive bandwidth allocation for wireless networks"

Connected through hyperedge HE-7 (induced by source paper "radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks"):
  with members:
    - "radio resource allocation for scalable video services over wireless cellular networks"
    - "call admission control based on adaptive bandwidth allocation for wireless networks"
    - "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"

Connected through hyperedge HE-8 (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"
    - "network evolution and qos provisioning for integrated femtocell macrocell networks"
    - "self optimized coverage coordination in femtocell networks"
    - "interference mitigation using dynamic frequency re use for dense femtocell network architectures"
    - "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)