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: "channel coding and decoding in a relay system operated with physical layer network coding"
  Abstract: This paper investigates link-by-link channel-coded PNC (physical layer network coding), in which a critical process at the relay is to transform the superimposed channel-coded packets received from the two end nodes (plus noise), Y3 = X1+ X2+W3, to the network-coded combination of the source packets, S1 oplus S2. This is in contrast to the traditional multiple-access problem, in which the goal is to obtain both S1 and S2 explicitly at the relay node. Trying to obtain S1 and S2 explicitly is an overkill if we are only interested in S1oplusS2. In this paper, we refer to the transformation Y3 rarr S1 oplus S2 as the channel-decoding- network-coding process (CNC) in that it involves both channel decoding and network coding operations. This paper shows that if we adopt the repeat accumulate (RA) channel code at the two end nodes, then there is a compatible decoder at the relay that can perform the transformation Y3 rarr S1oplusS2 efficiently. Specifically, we redesign the belief propagation decoding algorithm of the RA code for traditional point-to-point channel to suit the need of the PNC multiple-access channel. Simulation results show that our new scheme outperforms the previously proposed schemes significantly in terms of BER without added complexity.

Connected through hyperedge HE-1 (induced by source paper "deep learning based constellation optimization for physical network coding in two way relay networks"):
  with members:
    - "end to end deep learning of optical fiber communications"
    - "channel agnostic end to end learning based communication systems with conditional gan"
    - "end to end learning of communications systems without a channel model"
    - "deep learning for joint source channel coding of text"
    - "an introduction to deep learning for the physical layer"
    - "adam a method for stochastic optimization"
    - "physical layer network coding tutorial survey and beyond"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-2 (induced by source paper "asymptotic analysis on ldpc bicm scheme for compute and forward relaying"):
  with members:
    - "asymptotic analysis of spatial coupling coding for compute and forward relaying"
    - "secure computation and forward with linear codes"
    - "an algebraic approach to physical layer network coding"
    - "universal codes for the gaussian mac via spatial coupling"
    - "can iterative decoding for erasure correlated sources be universal"
    - "compute and forward harnessing interference through structured codes"
    - "density evolution for asymmetric memoryless channels"

Connected through hyperedge HE-3 (induced by source paper "asymptotic analysis on spatial coupling coding for two way relay channels"):
  with members:
    - "physical layer network coding a random coding error exponent perspective"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "compute and forward harnessing interference through structured codes"
    - "joint physical layer coding and network coding for bi directional relaying"
    - "density evolution for asymmetric memoryless channels"

Connected through hyperedge HE-4 (induced by source paper "noncoherent ldpc coded physical layer network coding using multitone fsk"):
  with members:
    - "ldpc code design for noncoherent physical layer network coding"
    - "mapping and coding design for channel coded physical layer network coding"
    - "an iterative noncoherent relay receiver for the two way relay channel"
    - "constellation shaping for bit interleaved ldpc coded apsk"
    - "physical layer network coding"

Connected through hyperedge HE-5 (induced by source paper "physical layer network coding a random coding error exponent perspective"):
  with members:
    - "code design for short blocks a survey"
    - "towards massive ultra reliable and low latency wireless the art of sending short packets"
    - "asynchronous physical layer network coding with quasi cyclic codes"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "asynchronous physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-6 (induced by source paper "on the subtleties of q pam linear physical layer network coding"):
  with members:
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "symbol and bit mapping optimization for physical layer network coding with pulse amplitude modulation"
    - "an algebraic approach to physical layer network coding"
    - "asynchronous physical layer network coding"
    - "multiple input multiple output two way relaying a space division approach"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "implementation of physical layer network coding"

Connected through hyperedge HE-7 (induced by source paper "complex linear physical layer network coding"):
  with members:
    - "on the subtleties of q pam linear physical layer network coding"
    - "lattices over eisenstein integers for compute and forward"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "symbol and bit mapping optimization for physical layer network coding with pulse amplitude modulation"
    - "an algebraic approach to physical layer network coding"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-8 (induced by source paper "secure compute and forward in a bidirectional relay"):
  with members:
    - "semantically secure lattice codes for the gaussian wiretap channel"
    - "secure computation in a bidirectional relay"
    - "reliable physical layer network coding"
    - "lattice codes for the gaussian wiretap channel"
    - "strong secrecy and reliable byzantine detection in the presence of an untrusted relay"
    - "secrecy gain a wiretap lattice code design"
    - "providing secrecy with lattice codes"
    - "on the secrecy rate of interference networks using structured codes"

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.NI(Networking and Internet Architecture)