human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "asynchronous convolutional coded physical layer network coding"
  Abstract: This paper investigates the decoding process of asynchronous convolutional-coded physical-layer network coding (PNC) systems. Specifically, we put forth a layered decoding framework for convolutional-coded PNC consisting of three layers: symbol realignment layer, codeword realignment layer, and joint channel-decoding network coding (Jt-CNC) decoding layer. Our framework can deal with phase asynchrony and symbol arrival-time asynchrony between the signals simultaneously transmitted by multiple sources. A salient feature of this framework is that it can handle both fractional and integral symbol offsets; previously proposed PNC decoding algorithms (e.g., XOR-CD and reduced-state Viterbi algorithms) can only deal with fractional symbol offset. Moreover, the Jt-CNC algorithm, based on belief propagation (BP), is BER-optimal for synchronous PNC and near optimal for asynchronous PNC. Extending beyond convolutional codes, we further generalize the Jt-CNC decoding algorithm for all cyclic codes. Our simulation shows that Jt-CNC outperforms the previously proposed XOR-CD algorithm and reduced-state Viterbi algorithm by 2dB for synchronous PNC. For phase-asynchronous PNC, Jt-CNC is 4dB better than the other two algorithms. Importantly, for real wireless environment testing, we have also implemented our decoding algorithm in a PNC system built on the USRP software radio platform. Our experiment shows that the proposed Jt-CNC decoder works well in practice.

Connected through hyperedge HE-1 (induced by source paper "implementation of uplink network coded modulation for two hop networks"):
  with members:
    - "complex linear physical layer network coding"
    - "network coded multiple access"
    - "wireless network coding via modified 802 11 mac phy design and implementation on sdr"
    - "asynchronous physical layer network coding"
    - "implementation of physical layer network coding"
    - "physical layer network coding"

Connected through hyperedge HE-2 (induced by source paper "mobile lattice coded physical layer network coding with practical channel alignment"):
  with members:
    - "reliable physical layer network coding supporting real applications"
    - "phase precoded compute and forward with partial feedback"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "network coded multiple access"
    - "airsync enabling distributed multiuser mimo with full spatial multiplexing"
    - "the degrees of freedom of compute and forward"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-3 (induced by source paper "arq for physical layer network coding"):
  with members:
    - "network codes for real time applications"
    - "joint channel estimation and channel decoding in physical layer network coding systems an em bp factor graph framework"
    - "asynchronous physical layer network coding with quasi cyclic codes"
    - "building blocks of physical layer network coding"
    - "distributed mac protocol supporting physical layer network coding"
    - "asynchronous physical layer network coding"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-4 (induced by source paper "asynchronous physical layer network coding with quasi cyclic codes"):
  with members:
    - "multistage compute and forward with multilevel lattice codes based on product constructions"
    - "an algebraic approach to physical layer network coding"
    - "asynchronous physical layer network coding"
    - "joint ldpc and physical layer network coding for asynchronous bi directional relaying"
    - "reliable physical layer network coding"
    - "integer forcing linear receivers"
    - "cyclic coded integer forcing equalization"
    - "channel coding and decoding in a relay system operated with physical layer network coding"

Connected through hyperedge HE-5 (induced by source paper "building blocks of physical layer network coding"):
  with members:
    - "joint design of channel and network coding for star networks"
    - "joint channel estimation and channel decoding in physical layer network coding systems an em bp factor graph framework"
    - "asynchronous physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "implementation of physical layer network coding"
    - "capacity bounds and lattice coding for the star relay network"
    - "compute and forward harnessing interference through structured codes"
    - "physical layer network coding"

Question: Please tell me which class the center node 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)