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 "network coding as a wimax link reliability mechanism"):
  Abstract: We design and implement a network-coding-enabled reliability architecture for next generation wireless networks. Our network coding (NC) architecture uses a flexible thread-based design, with each encoder-decoder instance applying systematic intra-session random linear network coding as a packet erasure code at the IP layer, to ensure the fast and reliable transfer of information between wireless nodes. #R##N#Using Global Environment for Network Innovations (GENI) WiMAX platforms, a series of point-to-point transmission experiments were conducted to compare the performance of the NC architecture to that of the Automatic Repeated reQuest (ARQ) and Hybrid ARQ (HARQ) mechanisms. At the application layer, Iperf and UDP-based File Transfer Protocol (UFTP) are used to measure throughput, packet loss and file transfer delay. In our selected scenarios, the proposed architecture is able to decrease packet loss from around 11-32% to nearly 0%; compared to HARQ and joint HARQ/ARQ mechanisms, the NC architecture offers up to 5.9 times gain in throughput and 5.5 times reduction in end-to-end file transfer delay. Our experiments show that network coding as a packet erasure code in the upper layers of the protocol stack has the potential to reduce the need for joint HARQ/ARQ schemes in the PHY/MAC layers, thus offering insights into cross-layer designs of efficient next generation wireless networks.

Includes members:
  Member "modeling network coded tcp throughput a simple model and its validation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "trade off between cost and goodput in wireless replacing transmitters with coding")
  Member "network coding meets tcp":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mds coding is better than replication for job completion times")
  Member "an efficient network coding based retransmission algorithm for wireless multicast":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "opportunistic scheduling for network coded data in wireless multicast networks")
  Member "arq for network coding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "tiny codes for guaranteeable delay")
  Member "further results on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reliability of relay networks under random linear network coding")
  Member "on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "adaptive causal network coding with feedback")

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)