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 "high throughput low delay wireless multicast via multi channel moving window codes"):
  Abstract: A fundamental challenge in wireless multicast has been how to simultaneously achieve high-throughput and low-delay for reliably serving a large number of users. In this paper, we show how to harness substantial throughput and delay gains by exploiting multi-channel resources. We develop a new scheme called Multi-Channel Moving Window Codes (MC-MWC) for multi-channel multi-session wireless multicast. The salient features of MC-MWC are three-fold. (i) High throughput: we show that MC-MWC achieves order-optimal throughput in the many-user many-channel asymptotic regime. Moreover, the number of channels required by a conventional channel-allocation based scheme is shown to be doubly-exponentially larger than that required by MC-MWC. (ii) Low delay: using large deviations theory, we show that the delay of MC-MWC decreases linearly with the number of channels, while the delay reduction of conventional schemes is no more than a finite constant. (iii) Low feedback overhead: the feedback overhead of MC-MWC is a constant that is independent of both the number of receivers in each session and the number of sessions in the network. Finally, our trace-driven simulation and numerical results validate the analytical results and show that the implementation complexity of MC-MWC is low.

Includes members:
  Member "throughput optimal broadcast in wireless networks with dynamic topology":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "broadcasting real time flows in integrated backhaul and access 5g networks")
  Member "analysis and optimization of sparse random linear network coding for reliable multicast services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the probability of partial decoding in sparse network coding")
  Member "constant delay and constant feedback moving window network coding for wireless multicast design and asymptotic analysis":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "experimental evaluation of large scale wifi multicast rate control")
  Member "throughput of rateless codes over broadcast erasure channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "delay optimal scheduling for chunked random linear network coding broadcast")
  Member "dynamic rate adaptation for improved throughput and delay in wireless network coded broadcast":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multirate packet delivery in heterogeneous broadcast networks")
  Member "feedback based online network coding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the probability of partial decoding in sparse network coding")
  Member "arq for network coding":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "tiny codes for guaranteeable delay")

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)