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: "fundamental limits of spectrum sharing full duplex multicell networks"
  Abstract: This paper studies the degrees of freedom (DoFs) of full-duplex (FD) multicell networks that share the spectrum among multiple cells. In the considered network, we assume that FD base stations (BSs) with multiple transmit and receive antennas communicate with multiple single-antenna uplink (UL) and downlink (DL) mobile users. By spectrum sharing among multiple cells, and with FD radio, the network can utilize the spectrum more efficiently. However, since spectrum sharing and FD induce additional inter-cell and intra-cell interferences, interference management is crucial to take advantage of these features. In this paper, we propose novel interference management strategies which take into account the new sources of interferences caused by spectrum sharing and FD to establish a general achievability result on the sum DoFs. The key ideas in our proposed scheme are to minimize the dimension of UL inter-cell and user-to-user interferences using interference alignment at the UL users. On the BS side, we propose an interference management strategy to align or null out DL intra-cell and inter-cell interferences, and BS-to-BS interferences. We further establish an upper bound on the sum DoFs and show that our lower and upper bounds match under certain conditions. Several numerical evaluations are shown which demonstrate that spectrum sharing and FD can significantly improve the throughput over conventional cellular networks, especially for a network with large number of users and/or cells.

Connected through hyperedge HE-1 (induced by source paper "capacity limits of full duplex cellular network"):
  with members:
    - "resource allocation and rate gains in practical full duplex systems"
    - "opportunistic scheduling for full duplex uplink downlink networks"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "in band full duplex wireless challenges and opportunities"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "bilayer low density parity check codes for decode and forward in relay channels"
    - "gaussian interference channel capacity to within one bit"
    - "rate regions for relay broadcast channels"

Connected through hyperedge HE-2 (induced by source paper "linear degrees of freedom of mimo broadcast channels with reconfigurable antennas in the absence of csit"):
  with members:
    - "degrees of freedom of full duplex cellular networks with reconfigurable antennas at base station"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "degrees of freedom of uplink downlink multiantenna cellular networks"
    - "on the degrees of freedom of k user siso interference and x channels with delayed csit"
    - "linear degrees of freedom of the mimo x channel with delayed csit"
    - "diophantine approach to blind interference alignment of homogeneous k user 2x1 miso broadcast channels"
    - "a new outer bound via interference localization and the degrees of freedom regions of mimo interference networks with no csit"
    - "completely stale transmitter channel state information is still very useful"

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)