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: "iterative receiver design with off the grid sparse channel estimation"
  Abstract: In this work we design an iterative receiver that incorporate sparse channel estimation. State-of-the-art sparse channel estimators simplify the estimation problem to be a finite basis selection problem by restricting the multipath delays to a grid. Our main contribution is a receiver that is released from such a restriction; the delays are "off-the-grid", i.e., they are estimated and tracked directly as continuous values. As a result our receiver does not suffer from the leakage effect, which destroys sparsity when the delays are restricted to a grid. We use the unifying framework of combined belief-propagation and mean-field. All parameters in the receiver are inherently estimated. The receiver outperforms iterative receivers embedding state-of-the-art sparse channel estimators in terms of both mean- squared error of the channel estimate and bit error rate. We also demonstrate that our receiver design allows for a significant reduction in the number of pilot signals, without incurring any increase in bit error rate. The receiver also adapts well to situations where the sparse channel assumption is violated; in this case its bit error rate is comparable to that of an iterative receiver that uses minimum mean-squared error channel estimation.

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)