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: "user selection and minimum probability of error multiuser transmit beamforming"
  Abstract: Motivated by the challenges to the existing multiuser transmission methods in a low signal to noise ratio (SNR) regime, in this paper we show that it is beneficial in this regime to incorporate knowledge of modulation type in the design of the multiuser transmit beamformer. We propose a transmit beamforming method by utilizing the concept of minimum probability of error (MPE). In a multiuser scenario, an objective function is designed based on the weighted sum of error probabilities of each user. We take a convex optimization approach to transform and solve this ill-behaved nonconvex optimization problem. It is shown that by minimizing this objective function, the performance of the system could be dramatically improved. We then develop a user selection algorithm compatible with MPE beamforming that selects the maximum number of users with their error probabilities approaching zero. Based on line packing principles in Grassmannian manifolds, it is shown that the number of selected users could potentially be more than the number of transmit antennas.

Connected through hyperedge HE-1 (induced by source paper "user selection and widely linear multiuser precoding for one dimensional signalling"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "transmit optimization with improper gaussian signaling for interference channels"

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)