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 "modeling analysis and impact of a long transitory phase in random access protocols"):
  Abstract: In random access protocols, the service rate depends#R##N#on the number of stations with a packet buffered for transmission.#R##N#We demonstrate via numerical analysis that this state-dependent#R##N#rate along with the consideration of Poisson traffic and infinite#R##N#(or large enough to be considered infinite) buffer size may cause#R##N#a high-throughput and extremely long (in the order of hours)#R##N#transitory phase when traffic arrivals are right above the stability#R##N#limit. We also perform an experimental evaluation to provide#R##N#further insight into the characterisation of this transitory phase#R##N#of the network by analysing statistical properties of its duration.#R##N#The identification of the presence as well as the characterisation#R##N#of this behaviour is crucial to avoid misprediction, which has a#R##N#significant potential impact on network performance and optimisation.#R##N#Furthermore, we discuss practical implications of this#R##N#finding and propose a distributed and low-complexity mechanism#R##N#to keep the network operating in the high-throughput phase.

Includes members:
  Member "on efficiency and validity of previous homeplug mac performance analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "state of the art in power line communications from the applications to the medium")
  Member "state dependent attempt rate modeling of single cell ieee 802 11 wlans with homogeneous nodes and poisson packet arrivals":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a fast and accurate performance analysis of beaconless ieee 802 15 4 multi hop networks")

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.NI(Networking and Internet Architecture)