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: "exploiting new forms of multiuser diversity for spectrum sharing in cognitive radio networks"
  Abstract: Multiuser diversity (MD), as a fundamental property of fading wireless networks, has been widely applied in today's wireless communication systems. In this letter, we consider the newly emerging cognitive radio (CR) wireless network that communicates by sharing the spectrum with the existing primary radio (PR) network. Under the assumption that the CR transmit terminal protects the PR transmission by applying the interference-power constraint at the PR receiver, this letter demonstrates several new forms of multiuser diversity in the spectrum sharing CR networks, named {\it multiuser interference diversity} (MID), which are resulted by the mutual interferences between the CR and PR networks and are thus not present in the conventional wireless networks. Three types of CR multiuser networks are considered, including the multiple-access channel (MAC), broadcast channel (BC), and parallel-access channel (PAC), for which this letter characterizes the transmit MID (T-MID), receive MID (R-MID), and combined T-MID and R-MID, respectively. It is shown that thanks to the new discovered MID, the MD in each CR network of interest can be substantially larger than that in the conventional networks, while their resultant diversity gain ratio is upper-bounded by some determinable value that is constant regardless of the number of CR users.

Connected through hyperedge HE-1 (induced by source paper "opportunistic spatial orthogonalization and its application in fading cognitive radio networks"):
  with members:
    - "opportunistic interference alignment in mimo interference channels"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "approaching the capacity of wireless networks through distributed interference alignment"
    - "gaussian interference channel capacity to within one bit"
    - "interference alignment and the degrees of freedom for the k user interference channel"

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)