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: "toward enabling broadband for a billion plus population with tv white spaces"
  Abstract: One of the major impediments to providing broadband connectivity in semi-urban and rural India is the lack of robust and affordable backhaul. Fiber connectivity in terms of backhaul that is being planned (or provided) by the Government of India would reach only up to the rural offices (called Gram Panchayat) in Indian villages. In this exposition, we articulate how TV white space can address the challenge in providing broadband connectivity to a billion plus population within India. The villages can form local Wi-Fi clusters. The problem of connecting the Wi-Fi clusters to the optical fiber points can be addressed using a TV white space based backhaul (middle mile) network. The amount of TV white space present in India is very large when compared to the developed world. Therefore, we discuss a backhaul architecture for rural India that utilizes TV white spaces. We also present results from our TV white space testbed that support the effectiveness of backhaul by using TV white spaces. Our testbed provides a broadband access network to rural populations in seven villages. The testbed is deployed over an area of 25 km2, and extends seamless broadband connectivity from optical fiber locations or Internet gateways to remote (difficult to connect) rural regions. We also discuss standards and TV white space regulations, which are pertinent to the backhaul architecture mentioned above.

Connected through hyperedge HE-1 (induced by source paper "a key 6g challenge and opportunity connecting the remaining 4 billions a survey on rural connectivity"):
  with members:
    - "connecting the unconnected towards frugal 5g network architecture and standardization"
    - "5g new radio evolution meets satellite communications opportunities challenges and solutions"
    - "aeronautical ad hoc networking for the internet above the clouds"
    - "percolation for d2d networks on street systems"
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "sum rate analysis for high altitude platform hap drones with tethered balloon relay"
    - "optical communication in space challenges and mitigation techniques"
    - "feasibility architecture and cost considerations of using tvws for rural internet access in 5g"

Connected through hyperedge HE-2 (induced by source paper "connecting the unconnected towards frugal 5g network architecture and standardization"):
  with members:
    - "feasibility architecture and cost considerations of using tvws for rural internet access in 5g"

Connected through hyperedge HE-3 (induced by source paper "spectrum sharing for lte a network in tv white space"):
  with members:
    - "co primary inter operator spectrum sharing over a limited spectrum pool using repeated games"
    - "quantitative assessment of tv white space in india"

Connected through hyperedge HE-4 (induced by source paper "a comprehensive survey on networking over tv white spaces"):
  with members:
    - "vehicular communications a network layer perspective"
    - "hysim a hybrid spectrum and information market for tv white space networks"

Connected through hyperedge HE-5 (induced by source paper "feasibility architecture and cost considerations of using tvws for rural internet access in 5g"):
  with members:
    - "5g ultra dense cellular networks"
    - "comparative performance analysis of wireless communication protocols for intelligent sensors and their applications"
    - "dynamic profit maximization of cognitive mobile virtual network operator"
    - "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)