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: "brains joint bandwidth relay allocation in multihoming cooperative d2d networks"
  Abstract: Cooperative device-to-device (CD2D) communication has been considered to be a solution to capacity shortage problem. Combining multihoming and CD2D techniques together can potentially improve network performance. We propose a novel multihoming CD2D network, in which multiple homing mobile devices (MMDs) act as relays for the cooperative communications of ordinary mobile devices (OMDs). We formulate such joint bandwidth-relay allocation problem as a two-stage game, in order to deal with two challenges: how to motivate MMDs to lease spare bandwidths and help OMDs to choose appropriate MMD relays. In the first stage, we use a noncooperative game to model the competition between MMDs in terms of shared bandwidth and price. In the second stage, we model the behavior of OMDs selecting MMDs by an evolutionary game. We prove that there exists Nash equilibrium in the game and propose a distributed incentive scheme named incentive mechanism for efficient bandwidth relay sharing (IMES) to solve the joint bandwidth-relay allocation problem. Extensive simulation results show that the equilibrium can be achieved and the best response price of one MMD increases with the other's best price in the Stackelberg game. The utility of MMDs increases with the number of OMDs in each OMD group at the evolutionary equilibrium. The proposed algorithms are able to reduce average service delay by more than   $25\%$   in comparison to the randomized scheme, which is frequently used in existing works. On average, IMES outperforms existing scheme by about   $20.37\%$   in terms of utility of MMDs.

Connected through hyperedge HE-1 (induced by source paper "energy efficient offloading in mobile edge computing with edge cloud collaboration"):
  with members:
    - "quick qos guaranteed efficient cloudlet placement in wireless metropolitan area networks"
    - "tarco two stage auction for d2d relay aided computation resource allocation in hetnet"
    - "energy efficient mobile edge computing in dense cellular networks"
    - "primary channel gain estimation for spectrum sharing in cognitive radio networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-2 (induced by source paper "poem pricing longer for edge computing in the device cloud"):
  with members:
    - "a taxonomy for management and optimization of multiple resources in edge computing"
    - "tarco two stage auction for d2d relay aided computation resource allocation in hetnet"

Connected through hyperedge HE-3 (induced by source paper "quick qos guaranteed efficient cloudlet placement in wireless metropolitan area networks"):
  with members:
    - "tarco two stage auction for d2d relay aided computation resource allocation in hetnet"

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)