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 "mobile lattice coded physical layer network coding with practical channel alignment"):
  Abstract: The original concept of physical-layer network coding (PNC) was first proposed in a MobiCom challenge paper in 2006 as a new paradigm to boost the throughput of wireless relay networks. Since then, PNC has attracted a wide following within the research community. A high point of PNC research was a theoretical proof that the use of nested lattice codes in PNC could achieve the capacity of a two-way relay network to within half bit. Many practical challenges, however, remain to be addressed before the full potential of lattice-coded PNC can be realized. Two major challenges are channel alignment of distributed nodes and complexity reduction of lattice encoding-decoding. This paper reports a first comprehensive implementation of a lattice-coded PNC system. Our contributions are twofold: 1) we design and demonstrate a low-overhead channel precoding scheme that can accurately align the channels of distributed nodes driven by independent low-cost temperature-compensated oscillators (TCXO); 2) we adapt the low-density lattice code (LDLC) for use in practical PNC systems. Our lattice-coded PNC implementation yields good throughput performance in static line-of-sight (LoS) scenario and mobile non-LoS scenarios.

Includes members:
  Member "reliable physical layer network coding supporting real applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coherent detection for short packet physical layer network coding with fsk modulation")
  Member "phase precoded compute and forward with partial feedback":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compute compress and forward exploiting asymmetry of wireless relay networks")
  Member "asynchronous convolutional coded physical layer network coding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "implementation of uplink network coded modulation for two hop networks")
  Member "multilevel coding schemes for compute and forward with flexible decoding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "compute compress and forward exploiting asymmetry of wireless relay networks")
  Member "scalable synchronization and reciprocity calibration for distributed multiuser mimo":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "amplitude and phase estimation for absolute calibration of massive mimo front ends")
  Member "network coded multiple access":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "random access for massive machine type communications")
  Member "airsync enabling distributed multiuser mimo with full spatial multiplexing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "distributed base station a concept system for long range broadband wireless access")
  Member "the degrees of freedom of compute and forward":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "towards an algebraic network information theory simultaneous joint typicality decoding")

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)