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: "throughput analysis of decentralized coded content caching in cellular networks"
  Abstract: Decentralized coded content caching for next generation cellular networks is studied. The contents are linearly combined and cached in under-utilized caches of User Terminals (UTs) and its throughput capacity is compared with decentralized uncoded content caching. In both scenarios, we consider multihop Device-to-Device (D2D) communications and the use of femtocaches in the network. It is shown that decentralized coded content caching can increase the network throughput capacity compared to decentralized uncoded caching by reducing the number of hops needed to deliver the desired content. Further, the throughput capacity for Zipfian content request distribution is computed and it is shown that the decentralized coded content cache placement can increase the throughput capacity of cellular networks by a factor of $(\log(n))^2$ where $n$ is the number of nodes served by a femtocache.

Connected through hyperedge HE-1 (induced by source paper "low complexity secure code lcsc design for big data in cloud storage systems"):
  with members:
    - "secure and private cloud storage systems with random linear fountain codes"
    - "cloud based deep learning of big eeg data for epileptic seizure prediction"
    - "a secure approach for caching contents in wireless ad hoc networks"
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "secure repairable fountain codes"
    - "capacity of cellular networks with femtocache"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "weakly secure regenerating codes for distributed storage"

Connected through hyperedge HE-2 (induced by source paper "secure and private cloud storage systems with random linear fountain codes"):
  with members:
    - "private information retrieval from mds coded data in distributed storage systems"
    - "cloud based deep learning of big eeg data for epileptic seizure prediction"
    - "a secure approach for caching contents in wireless ad hoc networks"
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "optimizing pilot overhead for ultra reliable short packet transmission"
    - "secure repairable fountain codes"
    - "distributed vector estimation for power and bandwidth constrained wireless sensor networks"
    - "capacity of cellular networks with femtocache"

Connected through hyperedge HE-3 (induced by source paper "a secure approach for caching contents in wireless ad hoc networks"):
  with members:
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "capacity of cellular networks with femtocache"
    - "caching in wireless multihop device to device networks"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "fundamental limits of caching"
    - "lt codes for efficient and reliable distributed storage systems revisited"
    - "a survey on network codes for distributed storage"
    - "decentralized coding algorithms for distributed storage in wireless sensor networks"

Connected through hyperedge HE-4 (induced by source paper "optimizing pilot overhead for ultra reliable short packet transmission"):
  with members:
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "capacity of cellular networks with femtocache"
    - "what will 5g be"

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)