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: "on the subtleties of q pam linear physical layer network coding"
  Abstract: This paper investigates various subtleties of applying linear physical-layer network coding (PNC) with    $q$   -level pulse amplitude modulation (   $q$   -PAM) in two-way relay channels. A critical issue is how the PNC system performs when the received powers from the two users at the relay are imbalanced. In particular, how would the PNC system perform under slight power imbalance that is inevitable in practice, even when power control is applied? To answer these questions, this paper presents a comprehensive analysis of    $q$   -PAM PNC. Our contributions are as follows. First, we give a systematic way to obtain the analytical relationship between the minimum distance of the signal constellation induced by the superimposed signals of the two users (a key performance determining factor) and the channel-gain ratio of the two users, for all    $q$   . In particular, we show how the minimum distance changes in a piecewise linear fashion as the channel-gain ratio varies. Second, we show that the performance of    $q$   -PAM PNC is highly sensitive to imbalanced received powers from the two users at the relay, even when the power imbalance is slight (e.g., the residual power imbalance in a power-controlled system). This sensitivity problem is exacerbated as    $q$    increases, calling into question the robustness of high-order modulated PNC. Third, we propose an asynchronized PNC system in which the symbol arrival times of the two users at the relay are deliberately made to be asynchronous. We show that such asynchronized PNC, when operated with a belief propagation decoder, can remove the sensitivity problem, allowing a robust high-order modulated PNC system to be built.

Connected through hyperedge HE-1 (induced by source paper "coherent detection for short packet physical layer network coding with fsk modulation"):
  with members:
    - "noncoherent detection for physical layer network coding"
    - "practical power balanced non orthogonal multiple access"
    - "ultra reliable short packet communications half duplex or full duplex relaying"
    - "complex linear physical layer network coding"
    - "mobile lattice coded physical layer network coding with practical channel alignment"
    - "reliable physical layer network coding supporting real applications"
    - "ultra reliable communication in 5g wireless systems"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-2 (induced by source paper "noncoherent detection for physical layer network coding"):
  with members:
    - "asynchronous physical layer network coding symbol misalignment estimation and its effect on decoding"
    - "network coded multiple access with high order modulations"
    - "asynchronous physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "compute and forward harnessing interference through structured codes"
    - "physical network coding in two way wireless relay channels"

Connected through hyperedge HE-3 (induced by source paper "complex linear physical layer network coding"):
  with members:
    - "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"
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-4 (induced by source paper "reliable physical layer network coding supporting real applications"):
  with members:
    - "arq for physical layer network coding"
    - "building blocks of physical layer network coding"
    - "network coded multiple access"
    - "distributed mac protocol supporting physical layer network coding"
    - "reliable physical layer network coding"
    - "physical layer network coding tutorial survey and beyond"
    - "implementation of physical layer network coding"

Connected through hyperedge HE-5 (induced by source paper "network coded multiple access with high order modulations"):
  with members:
    - "coded random access applying codes on graphs to design random access protocols"
    - "uplink non orthogonal multiple access for 5g wireless networks"
    - "network coded multiple access"
    - "constellation mapping for physical layer network coding with m qam modulation"
    - "asynchronous physical layer network coding"
    - "random access with physical layer network coding"
    - "airsync enabling distributed multiuser mimo with full spatial multiplexing"
    - "reliable physical layer network coding"

Connected through hyperedge HE-6 (induced by source paper "seek and decode random access with physical layer network coding and multiuser detection"):
  with members:
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "coded random access applying codes on graphs to design random access protocols"
    - "improved channel estimation for interference cancellation in random access methods for satellite communications"
    - "characterization of coded random access with compressive sensing based multi user detection"
    - "network coded multiple access"
    - "random access with physical layer network coding"
    - "reliable 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)