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: "self interference cancellation in multi hop full duplex networks via structured signaling"
  Abstract: This paper discusses transmission strategies for dealing with the problem of self-interference in multi-hop wireless networks in which the nodes communicate in a full- duplex mode. An information theoretic study of the simplest such multi-hop network: the two-hop source-relay-destination network, leads to a novel transmission strategy called structured self-interference cancellation (or just "structured cancellation" for short). In the structured cancellation strategy the source restrains from transmitting on certain signal levels, and the relay structures its transmit signal such that it can learn the residual self-interference channel, and undo the self-interference, by observing the portion of its own transmit signal that appears at the signal levels left empty by the source. It is shown that in certain nontrivial regimes, the structured cancellation strategy outperforms not only half-duplex but also full-duplex schemes in which time-orthogonal training is used for estimating the residual self-interference channel.

Connected through hyperedge HE-1 (induced by source paper "signaling design of two way mimo full duplex channel optimality under imperfect transmit front end chain"):
  with members:
    - "energy efficient power control a look at 5g wireless technologies"
    - "hardware impairments aware transceiver for full duplex massive mimo relaying"
    - "optimal signaling of miso full duplex two way wireless channel"
    - "coalitional games for transmitter cooperation in mimo multiple access channels"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "understanding the impact of phase noise on active cancellation in wireless full duplex"
    - "experiment driven characterization of full duplex wireless systems"
    - "the capacity of mimo channels with per antenna power constraint"

Connected through hyperedge HE-2 (induced by source paper "optimal signaling of miso full duplex two way wireless channel"):
  with members:
    - "experiment driven characterization of full duplex wireless systems"
    - "optimal beamforming in interference networks with perfect local channel information"
    - "full duplex bidirectional mimo achievable rates under limited dynamic range"
    - "cooperative interference management with miso beamforming"

Connected through hyperedge HE-3 (induced by source paper "in band full duplex wireless challenges and opportunities"):
  with members:
    - "cancellation of power amplifier induced nonlinear self interference in full duplex transceivers"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "advanced self interference cancellation and multiantenna techniques for full duplex radios"
    - "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "simultaneous transmission and reception algorithm design and system level performance"
    - "rate gain region and design tradeoffs for full duplex wireless communications"

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)