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: "optimal multicast of tiled 360 vr video"
  Abstract: In this letter, we study optimal multicast of tiled 360 virtual reality (VR) video from one server (base station or access point) to multiple users. We consider random viewing directions and random channel conditions, and adopt time division multiple access. For given video quality, we optimize the transmission time and power allocation to minimize the average transmission energy. For given transmission energy budget, we optimize the transmission time and power allocation as well as the encoding rate of each tile to maximize the received video quality. These two optimization problems are challenging non-convex problems. We obtain globally optimal closed-form solutions of the two non-convex problems, which reveal important design insights for multicast of tiled 360 VR video. Finally, numerical results demonstrate the advantage of the proposed solutions.

Connected through hyperedge HE-1 (induced by source paper "joint communication and computational resource allocation for qoe driven point cloud video streaming"):
  with members:
    - "qoe driven coupled uplink and downlink rate adaptation for 360 degree video live streaming"
    - "dynamic adaptive point cloud streaming"
    - "rate utility optimized streaming of volumetric media for augmented reality"

Connected through hyperedge HE-2 (induced by source paper "optimal transmission of multi quality tiled 360 vr video by exploiting multicast opportunities"):
  with members:
    - "optimal multi quality multicast for 360 virtual reality video"
    - "optimal multicast of tiled 360 vr video in ofdma systems"

Connected through hyperedge HE-3 (induced by source paper "qoe driven coupled uplink and downlink rate adaptation for 360 degree video live streaming"):
  with members:
    - "a rate adaptation algorithm for tile based 360 degree video streaming"

Connected through hyperedge HE-4 (induced by source paper "optimal multi view video transmission in multiuser wireless networks by exploiting natural and view synthesis enabled multicast opportunities"):
  with members:
    - "adaptive streaming in interactive multiview video systems"
    - "energy efficient multi view video transmission with view synthesis enabled multicast"
    - "in network view synthesis for interactive multiview video systems"

Connected through hyperedge HE-5 (induced by source paper "optimal multi quality multicast for 360 virtual reality video"):
  with members:
    - "spatiotemporal rate adaptive tiled scheme for 360 sports events"
    - "a rate adaptation algorithm for tile based 360 degree video streaming"

Connected through hyperedge HE-6 (induced by source paper "optimal multicast of tiled 360 vr video in ofdma systems"):
  with members:
    - "viewport adaptation based immersive video streaming perceptual modeling and applications"
    - "echo state learning for wireless virtual reality resource allocation in uav enabled lte u 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.IT(Information Theory)