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: "adaptive video streaming for wireless networks with multiple users and helpers"
  Abstract: We consider the design of a scheduling policy for video streaming in a wireless network formed by several users and helpers (e.g., base stations). In such networks, any user is typically in the range of multiple helpers. Hence, an efficient policy should allow the users to dynamically select the helper nodes to download from and determine adaptively the quality level of the requested video segment. In order to obtain a tractable formulation, we follow a “divide and conquer” approach. First, we formulate a network utility maximization (NUM) problem where the network utility function is a concave and component-wise nondecreasing function of the time-averaged users' requested video quality index, and maximization is subject to the stability of all queues in the system. Second, we solve the NUM problem by using a Lyapunov drift plus penalty approach, obtaining a dynamic adaptive scheme that decomposes into two building blocks: 1) adaptive video quality and helper selection (run at the user nodes); and 2) dynamic allocation of the helper-to-user transmission rates (run at the help nodes). Our solution provably achieves NUM optimality in a strong per-sample path sense (i.e., without assumptions of stationarity and ergodicity). Third, we observe that, since all queues in the system are stable, all requested video chunks shall be eventually delivered. Fourth, in order to translate the requested video quality into the effective video quality at the user playback, it is necessary that the chunks are delivered within their playback deadline. This requires that the largest delay among all queues at the helpers serving any given user is less than the pre-buffering time of that user at its streaming session startup phase. In order to achieve this condition with high probability, we propose an effective and decentralized (albeit heuristic) scheme to adaptively calculate the pre-buffering and re-buffering time at each user. In this way, the system is forced to work in the “smooth streaming regime,” i.e., in the regime of very small playback buffer underrun rate. Through simulations, we evaluate the performance of the proposed algorithm under realistic assumptions of a network with densely deployed helper and user nodes, including user mobility, variable bit-rate video coding, and users joining or leaving the system at arbitrary times.

Connected through hyperedge HE-1 (induced by source paper "wireless caching helper system with heterogeneous traffic and random availability"):
  with members:
    - "modeling and performance analysis of full duplex communications in cache enabled d2d networks"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "optimal caching and scheduling for cache enabled d2d communications"
    - "cache enabled device to device communications offloading gain and energy cost"
    - "spatially correlated content caching for device to device communications"
    - "wireless caching technical misconceptions and business barriers"
    - "on the delay of geographical caching methods in two tiered heterogeneous networks"
    - "content caching and distribution in smart grid enabled wireless networks"

Connected through hyperedge HE-2 (induced by source paper "markov decision policies for dynamic video delivery in wireless caching networks"):
  with members:
    - "wireless video caching and dynamic streaming under differentiated quality requirements"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "mobility aware caching in d2d networks"
    - "wireless content caching for small cell and d2d networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "optimal geographic caching in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "cache version selection and content placement for adaptive video streaming in wireless edge networks"):
  with members:
    - "jointly optimal routing and caching for arbitrary network topologies"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "centralized network utility maximization over aggregate flows"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "vip a framework for joint dynamic forwarding and caching in named data networks"

Connected through hyperedge HE-4 (induced by source paper "wireless video caching and dynamic streaming under differentiated quality requirements"):
  with members:
    - "dynamic video streaming in caching enabled wireless mobile networks"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "wireless device to device caching networks basic principles and system performance"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "the effects of mobility on the hit performance of cached d2d networks"
    - "wireless content caching for small cell and d2d networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "analysis on cache enabled wireless heterogeneous networks"

Connected through hyperedge HE-5 (induced by source paper "secure wireless powered and cooperative jamming d2d communications"):
  with members:
    - "robust chance constrained optimization for power efficient and secure swipt systems"
    - "wireless powered communication networks an overview"
    - "wireless powered communication opportunities and challenges"
    - "harvest then cooperate wireless powered cooperative communications"
    - "a survey on device to device communication in cellular networks"
    - "wireless powered cooperative communications via a hybrid relay"
    - "user cooperation in wireless powered communication networks"
    - "throughput maximization in wireless powered communication networks"

Connected through hyperedge HE-6 (induced by source paper "cache aware qoe traffic optimization in mobile edge assisted adaptive video streaming"):
  with members:
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "caching at the wireless edge design aspects challenges and future directions"

Connected through hyperedge HE-7 (induced by source paper "energy efficient resource allocation for hybrid services with future channel gains"):
  with members:
    - "an lstm network for highway trajectory prediction"
    - "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "anticipatory radio resource management for mobile video streaming with linear programming"
    - "a survey of anticipatory mobile networking context based classification prediction methodologies and optimization techniques"
    - "energy efficient adaptive video transmission exploiting rate predictions in wireless networks"

Connected through hyperedge HE-8 (induced by source paper "energy efficient predictive resource allocation for vod and real time services"):
  with members:
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "kernel based adaptive online reconstruction of coverage maps with side information"
    - "an overview of sustainable green 5g networks"
    - "predictive green wireless access exploiting mobility and application information"

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)