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 dynamic multicast scheduling for cache enabled content centric wireless networks"
  Abstract: Caching and multicasting at base stations are two promising approaches to support massive content delivery over wireless networks. However, existing scheduling designs do not make full use of the advantages of the two approaches. In this paper, we consider the optimal dynamic multicast scheduling to jointly minimize the average delay, power, and fetching costs for cache-enabled content-centric wireless networks. We formulate this stochastic optimization problem as an infinite horizon average cost Markov decision process (MDP). It is well-known to be a difficult problem due to the curse of dimensionality, and there generally only exist numerical solutions. By using relative value iteration algorithm and the special structures of the request queue dynamics, we analyze the properties of the value function and the state-action cost function of the MDP for both the uniform and nonuniform channel cases. Based on these properties, we show that the optimal policy, which is adaptive to the request queue state, has a switch structure in the uniform case and a partial switch structure in the nonuniform case. Moreover, in the uniform case with two contents, we show that the switch curve is monotonically non-decreasing. Then, by exploiting these structural properties of the optimal policy, we propose two low-complexity optimal algorithms. Motivated by the switch structures of the optimal policy, to further reduce the complexity, we also propose a low-complexity suboptimal policy, which possesses similar structural properties to the optimal policy, and develop a low-complexity algorithm to compute this policy.

Connected through hyperedge HE-1 (induced by source paper "minimum age of information in the internet of things with non uniform status packet sizes"):
  with members:
    - "average peak age of information minimization in uav assisted iot networks"
    - "age optimal transmission of rateless codes in an erasure channel"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "a reinforcement learning approach to age of information in multi user networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "sampling for data freshness optimization non linear age functions"
    - "controlling packet drops to improve freshness of information"
    - "joint status sampling and updating for minimizing age of information in the internet of things"

Connected through hyperedge HE-2 (induced by source paper "joint downlink scheduling for file placement and delivery in cache assisted wireless networks with finite file lifetime"):
  with members:
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "optimal caching and user association in cache enabled heterogeneous wireless networks"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "placing dynamic content in caches with small population"

Connected through hyperedge HE-3 (induced by source paper "joint annotator and spectrum allocation in wireless networks for crowd labelling"):
  with members:
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "federated learning via over the air computation"
    - "towards an intelligent edge wireless communication meets machine learning"
    - "max min fair transmit precoding for multi group multicasting in massive mimo"
    - "wirelessly powered crowd sensing joint power transfer sensing compression and transmission"
    - "on the spectral efficiency and security enhancements of noma assisted multicast unicast streaming"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"

Connected through hyperedge HE-4 (induced by source paper "deep multi agent reinforcement learning based cooperative edge caching in wireless networks"):
  with members:
    - "learning based delay aware caching in wireless d2d caching networks"
    - "decentralized caching for content delivery based on blockchain a game theoretic perspective"
    - "a deep reinforcement learning based framework for content caching"
    - "multi agent actor critic for mixed cooperative competitive environments"
    - "learning to communicate with deep multi agent reinforcement learning"

Connected through hyperedge HE-5 (induced by source paper "cache placement in two tier hetnets with limited storage capacity cache or buffer"):
  with members:
    - "optimal fairness aware time and power allocation in wireless powered communication networks"
    - "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"
    - "cooperative edge caching in user centric clustered mobile networks"
    - "association and load optimization with user priorities in load coupled heterogeneous networks"
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "wireless caching technical misconceptions and business barriers"

Connected through hyperedge HE-6 (induced by source paper "joint content delivery and caching placement via dynamic programming"):
  with members:
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"
    - "caching placement in stochastic wireless caching helper networks channel selection diversity via caching"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "cache enabled small cell networks modeling and tradeoffs"
    - "mixed timescale precoding and cache control in cached mimo interference network"
    - "fundamental limits of caching"

Connected through hyperedge HE-7 (induced by source paper "cache enabled dynamic rate allocation via deep self transfer reinforcement learning"):
  with members:
    - "progressive neural networks"
    - "one shot imitation learning"
    - "reinforcement learning with unsupervised auxiliary tasks"
    - "deep reinforcement learning for robotic manipulation with asynchronous off policy updates"
    - "trust region policy optimization"
    - "adam a method for stochastic optimization"
    - "cache enabled opportunistic cooperative mimo for video streaming in wireless systems"
    - "probe and adapt rate adaptation for http video streaming at scale"

Connected through hyperedge HE-8 (induced by source paper "optimal scheduling of multiple sensors over lossy and bandwidth limited channels"):
  with members:
    - "opportunistic scheduling as restless bandits"
    - "attack allocation on remote state estimation in multi systems structural results and asymptotic solution"
    - "infinite horizon optimal transmission power control for remote state estimation over fading channels"
    - "sensor scheduling in variance based event triggered estimation with packet drops"
    - "stochastic event triggered sensor scheduling for remote state estimation"
    - "optimal strategies for communication and remote estimation with an energy harvesting sensor"

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)