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 "optimizing quality of experience of dynamic video streaming over fading wireless networks"):
  Abstract: We address the problem of video streaming packets from an Access Point (AP) to multiple clients over a shared wireless channel with fading. In such systems, each client maintains a buffer of packets from which to play the video, and an outage occurs in the streaming whenever the buffer is empty. Clients can switch to a lower-quality of video packet, or request packet transmission at a higher energy level in order to minimize the number of outages plus the number of outage periods and the number of low quality video packets streamed, while there is an average power constraint on the AP. #R##N#We pose the problem of choosing the video quality and transmission power as a Constrained Markov Decision Process (CMDP). We show that the problem involving $N$ clients decomposes into $N$ MDPs, each involving only a single client, and furthermore that the optimal policy has a threshold structure, in which the decision to choose the video-quality and power-level of transmission depends solely on the buffer-level.

Includes members:
  Member "index policies for optimal mean variance trade off of inter delivery times in real time sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "closed form whittle s index enabled random access for timely status update")
  Member "decentralized throughput maximizing policies for deadline constrained wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal information updating based on value of information")
  Member "a high reliability asymptotic approach for packet inter delivery time optimization in cyber physical systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal age energy trade off via sleep wake scheduling")
  Member "analysis of buffer starvation with application to objective qoe optimization of streaming services":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "qoe management of multimedia streaming services in future networks a tutorial and survey")
  Member "pathwise performance of debt based policies for wireless networks with hard delay constraints":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal information updating based on value of information")

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.NI(Networking and Internet Architecture)