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: "underlay cognitive radio with full or partial channel quality information"
  Abstract: Underlay cognitive radios (UCRs) allow a secondary user to enter a primary user's spectrum through#R##N#intelligent utilization of multiuser channel quality information (CQI) and sharing of codebook. The aim#R##N#of this work is to study two-user Gaussian UCR systems by assuming the full or partial knowledge of#R##N#multiuser CQI. Key contribution of this work is motivated by the fact that the full knowledge of multiuser#R##N#CQI is not always available. We first establish a location-aided UCR model where the secondary user is#R##N#assumed to have partial CQI about the secondary-transmitter to primary-receiver link as well as full CQI#R##N#about the other links. Then, new UCR approaches are proposed and carefully analyzed in terms of the#R##N#secondary user's achievable rate, denoted by 𝐶2, the capacity penalty to primary user, denoted by Δ𝐶1, and capacity outage probability. Numerical examples are provided to visually compare the performance#R##N#of UCRs with full knowledge of multiuser CQI and the proposed approaches with partial knowledge of#R##N#multiuser CQI.

Connected through hyperedge HE-1 (induced by source paper "capacity and spectral efficiency of interference avoiding cognitive radio with imperfect detection"):
  with members:
    - "multiuser cognitive radio networks an information theoretic perspective"
    - "on ergodic sum capacity of fading cognitive multiple access and broadcast channels"
    - "cognitive radio an information theoretic perspective"

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)