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 "scheduling periodic messages on a shared link"):
  Abstract: Cloud-RAN is a recent architecture for mobile networks where the processing units are located in distant data-centers while, until now, they were attached to antennas. The main challenge, to fulfill protocol time constraints, is to guarantee a low latency for the periodic messages sent from each antenna to its processing unit and back. The problem we address is to find a sending scheme of these periodic messages without contention nor buffering. We focus on a simple but common star shaped topology, where all contentions are on a single link shared by all antennas. For messages of arbitrary size, we show that there is always a solution as soon as the load of the network is less than $40\%$. Moreover, we explain how we can restrict our study to message of size $1$ without increasing too much the global latency. For message of size $1$, we prove that it is always possible to schedule them, when the load is less than $61\%$ using a polynomial time algorithm. Moreover, using a simple random greedy algorithm, we show that almost all instances of a given load admit a solution, explaining why most greedy algorithms work so well in practice.

Includes members:
  Member "deterministic contention management for low latency cloud ran over an optical ring":
    also connected through other hyperedges:
      (none)
  Member "deterministic scheduling of periodic messages for cloud ran":
    also connected through other hyperedges:
      (none)
  Member "five disruptive technology directions for 5g":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep learning enabled optimization of downlink beamforming under per antenna power constraints algorithms and experimental demonstration")

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.DC(Distributed, Parallel, and Cluster Computing)