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: "anticipatory buffer control and resource allocation for wireless video streaming"
  Abstract: This paper describes a new approach for allocating resources to video streaming traffic. Assuming that the future channel state can be predicted for a certain time, we minimize the fraction of the bandwidth consumed for smooth streaming by jointly allocating wireless channel resources and play-out buffer size. To formalize this idea, we introduce a new model to capture the dynamic of a video streaming buffer and the allocated spectrum in an optimization problem. The result is a Linear Program that allows to trade off buffer size and allocated bandwidth. Based on this tractable model, our simulation results show that anticipating poor channel states and pre-loading the buffer accordingly allows to serve more users at perfect video quality.

Connected through hyperedge HE-1 (induced by source paper "policy optimization for content push via energy harvesting small cells in heterogeneous networks"):
  with members:
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "wireless caching technical misconceptions and business barriers"
    - "on the tradeoff between energy harvesting and caching in wireless networks"
    - "greendelivery proactive content caching and push with energy harvesting based small cells"
    - "proactive push with energy harvesting based small cells in heterogeneous networks"
    - "energy harvesting small cell networks feasibility deployment and operation"
    - "learning based optimization of cache content in a small cell base station"
    - "multicast aware caching for small cell networks"

Connected through hyperedge HE-2 (induced by source paper "wireless content caching for small cell and d2d networks"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "smarterphones anticipatory download scheduling for wireless video streaming"
    - "multicast aware caching for small cell networks"
    - "fundamental limits of caching in wireless d2d networks"
    - "on the complexity of optimal routing and content caching in heterogeneous networks"
    - "online coded caching"
    - "base station assisted device to device communications for high throughput wireless video networks"

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.MM(Multimedia)