human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "ultra reliable low latency communication urllc using interface diversity"):
  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 interface diversity and integrate multiple communication interfaces, each interface based on a different technology. In this work, we propose 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. In order to estimate the performance in terms of latency and reliability of such an integrated communication system, we propose an analysis framework that combines traditional reliability models with technology-specific latency probability distributions. Our model is capable to account for failure correlation among interfaces/technologies. By considering different scenarios, we find that optimized strategies can in some cases significantly outperform strategies based on $k$-out-of-$n$ erasure codes, where the latter do not account for the characteristics of the different interfaces. The model has been validated through simulation and is supported by experimental results.

Includes members:
  Member "how reliable and capable is multi connectivity":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "wireless mesh networking with devices equipped with multi connectivity")
  Member "ultra reliable and low latency communications in 5g downlink physical layer aspects":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards reliable uav swarm communication in d2d enhanced cellular network")
  Member "optimized interface diversity for ultra reliable low latency communication urllc":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "random linear network coding for 5g mobile video delivery")
  Member "random access protocols for massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "online estimation and adaptation for random access with successive interference cancellation")
  Member "latency analysis of systems with multiple interfaces for ultra reliable m2m communication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wireless edge computing with latency and reliability guarantees")
  Member "5g ultra reliable vehicular communication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimized interface diversity for ultra reliable low latency communication urllc")
  Member "exploiting the power of multiplicity a holistic survey of network layer multipath":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey of big data machine learning applications optimization in cloud data centers and networks")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")

Question: Please tell me which class the source paper 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)