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: "a linearization technique for self interference cancellation in full duplex radios"
  Abstract: The fundamental problem in the design of a fullduplex radio is the cancellation of the self-interference (SI) signal generated by the transmitter. Current techniques for suppressing SI rely on generating a copy of the SI signal and subtracting it partly in the RF (radio frequency) and digital domains. A critical step in replicating the self-interference is the estimation of the multi-path channel through which the transmitted signal propagates to the antenna. Since there is no prior model on the number of multipath reflections, current techniques assume a tap delay line filter (in the RF and digital domain) with a large number of taps, and estimate the taps in the analog and the digital domain. In this paper, using a linearization technique, we show that the self-interference channel in an indoor environment can be effectively modelled as H(f) = C0 + C1f in the frequency domain. Thus, the effective self-interference channel can be represented by two parameters C0 and C1, irrespective of the multipath environment. We also provide experimental evidence to verify the above channel model and propose novel low-complexity designs for self-interference cancellation.

Connected through hyperedge HE-1 (induced by source paper "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"):
  with members:
    - "full duplex mimo small cell networks performance analysis"
    - "energy efficient design of mimo heterogeneous networks with wireless backhaul"
    - "small cell in band wireless backhaul in massive mimo systems a cooperation of next generation techniques"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "experiment driven characterization of full duplex wireless systems"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "superimposed signaling inspired channel estimation in full duplex systems"):
  with members:
    - "all digital self interference cancellation technique for full duplex systems"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "full duplex mobile device pushing the limits"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "rate gain region and design tradeoffs for full duplex wireless communications"
    - "in band full duplex wireless challenges and opportunities"
    - "an analog baseband approach for designing full duplex radios"

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.NI(Networking and Internet Architecture)