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: "constellation design for transmission over nonlinear satellite channels"
  Abstract: In this paper we use a variation of simulated annealing algorithm for optimizing two-dimensional constellations with 32 signals. The main objective is to maximize the symmetric pragmatic capacity under the peak-power constraint. The method allows the joint optimization of constellation and binary labeling. We also investigate the performance of the optimized constellation over nonlinear satellite channel under additive white Gaussian noise. We consider the performance over systems with and without pre-distorters. In both cases the optimized constellations perform considerably better than the conventional Amplitude Phase Shift Keying (APSK) modulations, used in the current digital video broadcasting standard (DVB-S2) on satellite channels. Based on our optimized constellations, we also propose a new labeling for the 4+12+16-APSK constellation of the DVB-S2 standard which is Gray over all rings.

Connected through hyperedge HE-1 (induced by source paper "code design for non coherent detection of frame headers in precoded satellite systems"):
  with members:
    - "user clustering for multicast precoding in multi beam satellite systems"

Connected through hyperedge HE-2 (induced by source paper "performance analysis of physical layer network coding for two way relaying over non regenerative communication satellites"):
  with members:
    - "physical layer network coding tutorial survey and beyond"
    - "wireless network coded three way relaying using latin cubes"

Connected through hyperedge HE-3 (induced by source paper "comparison of geometric and probabilistic shaping with application to atsc 3 0"):
  with members:
    - "design of robust protograph based ldpc codes for rate adaptation via probabilistic shaping"
    - "approaching the gaussian channel capacity with apsk constellations"
    - "constant composition distribution matching"
    - "constellation shaping for bit interleaved ldpc coded apsk"
    - "design and analysis of nonbinary ldpc codes for arbitrary discrete memoryless channels"

Connected through hyperedge HE-4 (induced by source paper "64 apsk constellation and mapping optimization for satellite broadcasting using genetic algorithms"):
  with members:
    - "on the genetic optimization of apsk constellations for satellite broadcasting"
    - "random access in dvb rcs2 design and dynamic control for congestion avoidance"
    - "a hierarchical modulation for upgrading digital broadcast systems"
    - "combining adaptive coding and modulation with hierarchical modulation in satcom systems"
    - "providing local content in a hybrid single frequency network using hierarchical modulation"

Connected through hyperedge HE-5 (induced by source paper "on the genetic optimization of apsk constellations for satellite broadcasting"):
  with members:
    - "random access in dvb rcs2 design and dynamic control for congestion avoidance"
    - "random access congestion control in dvb rcs2 interactive satellite terminals"

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)