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: "resource allocation for network integrated device to device communications using smart relays"
  Abstract: With increasing number of autonomous heterogeneous devices in future mobile networks, an efficient resource allocation scheme is required to maximize network throughput and achieve higher spectral efficiency. In this paper, performance of network-integrated device-to-device (D2D) communication is investigated where D2D traffic is carried through relay nodes. An optimization problem is formulated for allocating radio resources to maximize end-to-end rate as well as conversing QoS requirements for cellular and D2D user equipment under total power constraint. Numerical results show that there is a distance threshold beyond which relay-assisted D2D communication significantly improves network performance when compared to direct communication between D2D peers.

Connected through hyperedge HE-1 (induced by source paper "relay assisted device to device communication approaches and issues"):
  with members:
    - "distributed resource allocation for relay aided device to device communication under channel uncertainties a stable matching approach"
    - "distributed resource allocation for relay aided device to device communication a message passing approach"
    - "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"
    - "base station assisted device to device communications for high throughput wireless video networks"
    - "to relay or not to relay learning device to device relaying strategies in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "distributed resource allocation in 5g cellular networks"):
  with members:
    - "distributed resource allocation for relay aided device to device communication a message passing approach"
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "a mean field game approach to scheduling in cellular systems"
    - "refim a practical interference management in heterogeneous wireless access networks"

Connected through hyperedge HE-3 (induced by source paper "distributed resource allocation for relay aided device to device communication under channel uncertainties a stable matching approach"):
  with members:
    - "matching theory for priority based cell association in the downlink of wireless small cell networks"
    - "matching theory for future wireless networks fundamentals and applications"
    - "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"
    - "resource management for device to device underlay communication"
    - "robust rate maximization game under bounded channel uncertainty"

Connected through hyperedge HE-4 (induced by source paper "distributed resource allocation for relay aided device to device communication a message passing approach"):
  with members:
    - "low rate machine type communication via wireless device to device d2d links"
    - "refim a practical interference management in heterogeneous wireless access networks"
    - "message passing resource allocation for the uplink of multicarrier systems"

Connected through hyperedge HE-5 (induced by source paper "resource allocation under channel uncertainties for relay aided device to device communication underlaying lte a cellular networks"):
  with members:
    - "low rate machine type communication via wireless device to device d2d links"
    - "refim a practical interference management in heterogeneous wireless access networks"
    - "robust rate maximization game under bounded channel uncertainty"

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)