human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "performance analysis of reliable video streaming with strict playout deadline in multi hop wireless networks"):
  Abstract: Motivated by emerging vision-based intelligent services, we consider the problem of rate adaptation for high quality and low delay visual information delivery over wireless networks using scalable video coding. Rate adaptation in this setting is inherently challenging due to the interplay between the variability of the wireless channels, the queuing at the network nodes and the frame-based decoding and playback of the video content at the receiver at very short time scales. To address the problem, we propose a low-complexity, model-based rate adaptation algorithm for scalable video streaming systems, building on a novel performance model based on stochastic network calculus. We validate the model using extensive simulations. We show that it allows fast, near optimal rate adaptation for fixed transmission paths, as well as cross-layer optimized routing and video rate adaptation in mesh networks, with less than $10$\% quality degradation compared to the best achievable performance.

Includes members:
  Member "bola near optimal bitrate adaptation for online videos":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "understanding video streaming algorithms in the wild")
  Member "power minimization under statistical delay constraints for multi hop wireless industrial networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the effective energy efficiency of ultra reliable networks in the finite blocklength regime")
  Member "probe and adapt rate adaptation for http video streaming at scale":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "understanding video streaming algorithms in the wild")
  Member "on the flow level delay of a spatial multiplexing mimo wireless channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "delay performance of miso wireless communications")
  Member "an end to end probabilistic network calculus with moment generating functions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "analysis of uplink scheduling for haptic communications")

Question: Please tell me which class the source paper 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)