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: "optimized interface diversity for ultra reliable low latency communication urllc"
  Abstract: An important ingredient of the future 5G systems will be Ultra-Reliable Low-Latency Communication (URLLC). A way to offer URLLC without intervention in the baseband/PHY layer design is to use \emph{interface diversity} and integrate multiple communication interfaces, each interface based on a different technology. Our approach is to use coding to seamlessly distribute coded payload and redundancy data across multiple available communication interfaces. We formulate an optimization problem to find the payload allocation weights that maximize the reliability at specific target latency values. By considering different scenarios, we find that optimized strategies can significantly outperform $k$-out-of-$n$ strategies, where the latter do not account for the characteristics of the different interfaces. Our approach is supported by experimental results.

Connected through hyperedge HE-1 (induced by source paper "random linear network coding for 5g mobile video delivery"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "reliable video streaming over mmwave with multi connectivity and network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "analysis and optimization of sparse random linear network coding for reliable multicast services"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "optimized network coded scalable video multicasting over embms networks"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"

Connected through hyperedge HE-2 (induced by source paper "reliable and low latency fronthaul for tactile internet applications"):
  with members:
    - "coding for fast content download"

Connected through hyperedge HE-3 (induced by source paper "ultra reliable low latency communication urllc using interface diversity"):
  with members:
    - "how reliable and capable is multi connectivity"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "random access protocols for massive mimo"
    - "latency analysis of systems with multiple interfaces for ultra reliable m2m communication"
    - "5g ultra reliable vehicular communication"
    - "exploiting the power of multiplicity a holistic survey of network layer multipath"
    - "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)