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: "a message passing approach for joint channel estimation interference mitigation and decoding"
  Abstract: Channel uncertainty and co-channel interference are two major challenges in the design of wireless systems such as future generation cellular networks. This paper studies receiver design for a wireless channel model with both time-varying Rayleigh fading and strong co-channel interference of similar form as the desired signal. It is assumed that the channel coefficients of the desired signal can be estimated through the use of pilots, whereas no pilot for the interference signal is available, as is the case in many practical wireless systems. Because the interference process is non-Gaussian, treating it as Gaussian noise generally often leads to unacceptable performance. In order to exploit the statistics of the interference and correlated fading in time, an iterative message-passing architecture is proposed for joint channel estimation, interference mitigation and decoding. Each message takes the form of a mixture of Gaussian densities where the number of components is limited so that the overall complexity of the receiver is constant per symbol regardless of the frame and code lengths. Simulation of both coded and uncoded systems shows that the receiver performs significantly better than conventional receivers with linear channel estimation, and is robust with respect to mismatch in the assumed fading model.

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"
    - "on the subtleties of q pam linear physical layer network coding"
    - "reliable physical layer network coding supporting real applications"
    - "ultra reliable communication in 5g wireless systems"

Connected through hyperedge HE-2 (induced by source paper "asymptotically optimal estimation algorithm for the sparse signal with arbitrary distributions"):
  with members:
    - "a lse and sparse message passing based channel estimation for mmwave mimo systems"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "convergence analysis and assurance for gaussian message passing iterative detector in massive mu mimo systems"
    - "channel estimation in broadband millimeter wave mimo systems with few bit adcs"
    - "turbo compressed sensing with partial dft sensing matrix"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "approximate mmse estimator for linear dynamic systems with gaussian mixture noise"
    - "expectation maximization gaussian mixture approximate message passing"

Connected through hyperedge HE-3 (induced by source paper "iterative channel estimation using lse and sparse message passing for mmwave mimo systems"):
  with members:
    - "low complexity sparse bayesian learning using combined belief propagation and mean field with a stretched factor graph"
    - "beamspace channel estimation for millimeter wave massive mimo systems with lens antenna array"
    - "a lse and sparse message passing based channel estimation for mmwave mimo systems"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "low rf complexity technologies to enable millimeter wave mimo with large antenna array for 5g wireless communications"
    - "channel estimation for hybrid architecture based wideband millimeter wave systems"
    - "convergence analysis and assurance for gaussian message passing iterative detector in massive mu mimo systems"
    - "frequency selective hybrid precoding for limited feedback millimeter wave systems"

Connected through hyperedge HE-4 (induced by source paper "a lse and sparse message passing based channel estimation for mmwave mimo systems"):
  with members:
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "gaussian message passing iterative detection for mimo noma systems with massive access"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"

Connected through hyperedge HE-5 (induced by source paper "superimposed signaling inspired channel estimation in full duplex systems"):
  with members:
    - "a linearization technique for self interference cancellation in full duplex radios"
    - "all digital self interference cancellation technique for full duplex systems"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "full duplex mobile device pushing the limits"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "rate gain region and design tradeoffs for full duplex wireless communications"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-6 (induced by source paper "joint sparse channel estimation and decoding continuous and discrete domain sparsity"):
  with members:
    - "variational bayesian inference of line spectra"
    - "atomic norm denoising with applications to line spectral estimation"
    - "fast and robust parametric estimation of jointly sparse channels"
    - "message passing algorithms for channel estimation and decoding using approximate inference"
    - "towards a mathematical theory of super resolution"
    - "a message passing receiver for bicm ofdm over unknown clustered sparse channels"
    - "merging belief propagation and the mean field approximation a free energy approach"
    - "compressive estimation of doubly selective channels in multicarrier systems leakage effects and sparsity enhancing processing"

Connected through hyperedge HE-7 (induced by source paper "iterative receiver design with off the grid sparse channel estimation"):
  with members:
    - "atomic norm denoising with applications to line spectral estimation"
    - "message passing algorithms for channel estimation and decoding using approximate inference"
    - "towards a mathematical theory of super resolution"
    - "a message passing receiver for bicm ofdm over unknown clustered sparse channels"
    - "merging belief propagation and the mean field approximation a free energy approach"
    - "compressive estimation of doubly selective channels in multicarrier systems leakage effects and sparsity enhancing processing"
    - "sufficient conditions for convergence of the sum product algorithm"

Connected through hyperedge HE-8 (induced by source paper "capacity of known interference channel"):
  with members:
    - "blind known interference cancellation"
    - "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)