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: "optimizing mds coded caching in wireless networks with device to device communication"
  Abstract: We consider the caching of content in the mobile devices in a wireless network using maximum distance separable (MDS) codes. We focus on an area, served by a base station (BS), where mobile devices move around according to a random mobility model. Users requesting a particular file download coded symbols from caching devices within a communication range, using device-to-device communication. If additional symbols are required to decode the file, these are downloaded from the BS. We analyze the device mobility and derive a good approximation of the distribution of caching devices within the communication range of mobile devices at any given time. We then optimize the MDS codes to minimize the network load under a cache size constraint and show that using optimized MDS codes results in significantly lower network load compared to when caching the most popular files. We further show numerically that caching coded symbols of each file on all mobile devices, i.e., maximal spreading, is optimal.

Connected through hyperedge HE-1 (induced by source paper "joint fronthaul multicast and cooperative beamforming for cache enabled cloud based small cell networks an mds codes aided approach"):
  with members:
    - "joint long term cache allocation and short term content delivery in green cloud small cell networks"
    - "layered group sparse beamforming for cache enabled green wireless networks"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "joint optimization of user association data delivery rate and precoding for cache enabled f rans"
    - "coded multicast fronthauling and edge caching for multi connectivity transmission in fog radio access networks"
    - "delivery time minimization in edge caching synergistic benefits of subspace alignment and zero forcing"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"

Connected through hyperedge HE-2 (induced by source paper "centralized coded caching with user cooperation"):
  with members:
    - "fundamental latency limits for d2d aided content delivery in fog wireless networks"
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "improved converses and gap results for coded caching"
    - "spatially correlated content caching for device to device communications"
    - "multi server coded caching"
    - "fundamental limits of caching in wireless d2d networks"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "fundamental limits of caching"

Connected through hyperedge HE-3 (induced by source paper "private information retrieval from a cellular network with caching at the edge"):
  with members:
    - "converse for multi server single message pir with side information"
    - "the capacity of private information retrieval from decentralized uncoded caching databases"
    - "private information retrieval from mds coded data in distributed storage systems"
    - "achieving private information retrieval capacity in distributed storage using an arbitrary linear code"
    - "fundamental limits of cache aided private information retrieval with unknown and uncoded prefetching"
    - "the capacity of private information retrieval with private side information"
    - "cache aided private information retrieval with partially known uncoded prefetching fundamental limits"
    - "private information retrieval from mds coded data with colluding servers settling a conjecture by freij hollanti et al"

Connected through hyperedge HE-4 (induced by source paper "mobility aware coded storage and delivery"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "delay aware coded caching for mobile users"
    - "novel decentralized coded caching through coded prefetching"
    - "the optimal memory rate trade off for the non uniform centralized caching problem with two files under uncoded placement"
    - "coded caching in a multi server system with random topology"
    - "low subpacketization schemes for coded caching"
    - "optimization of heterogeneous coded caching"

Connected through hyperedge HE-5 (induced by source paper "simplifying wireless social caching via network coding"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "optimal storage allocation for wireless cloud caching systems with a limited sum storage capacity"
    - "decentralized coded caching with distinct cache capacities"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "multi level coded caching"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "fundamental limits of caching"
    - "distributed storage allocations"

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)