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 self interference suppression for improved spectrum awareness efficiency in cognitive radio systems"
  Abstract: Inspired by recent developments in full-duplex communications, we propose and study new modes of operation for cognitive radios with the goal of achieving improved primary user (PU) detection and/or secondary user (SU) throughput. Specifically, we consider an opportunistic PU/SU setting in which the SU is equipped with partial/complete self-interference suppression (SIS), enabling it to transmit and receive/sense at the same time. Following a brief sensing period, the SU can operate in either simultaneous transmit-and-sense (TS) mode or simultaneous transmit-and-receive (TR) mode. We analytically study the performance metrics for the two modes, namely the detection and false-alarm probabilities, the PU outage probability, and the SU throughput. From this analysis, we evaluate the sensing-throughput tradeoff for both modes. Our objective is to find the optimal sensing and transmission durations for the SU that maximize its throughput subject to a given outage probability. We also explore the spectrum awareness/efficiency tradeoff that arises from the two modes by determining an efficient adaptive strategy for the SU link. This strategy has a threshold structure, which depends on the PU traffic load. Our study considers both perfect and imperfect sensing as well as perfect/imperfect SIS.

Connected through hyperedge HE-1 (induced by source paper "timely csi acquisition exploiting full duplex"):
  with members:
    - "why to decouple the uplink and downlink in cellular networks and how to do it"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "experiment driven characterization of full duplex wireless systems"

Connected through hyperedge HE-2 (induced by source paper "opportunistic spectrum sharing in dynamic access networks deployment challenges optimizations solutions and open issues"):
  with members:
    - "channel assignment with access contention resolution for cognitive radio networks"
    - "optimal multiband joint detection for spectrum sensing in cognitive radio networks"
    - "cognitive mimo radio"

Connected through hyperedge HE-3 (induced by source paper "sliding window spectrum sensing for full duplex cognitive radios with low access latency"):
  with members:
    - "full duplex cognitive radio a new design paradigm for enhancing spectrum usage"
    - "baseband and rf hardware impairments in full duplex wireless systems experimental characterisation and suppression"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-4 (induced by source paper "listen and talk protocol design and analysis for full duplex cognitive radio networks"):
  with members:
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "full duplex cooperative cognitive radio with transmit imperfections"

Connected through hyperedge HE-5 (induced by source paper "baseband and rf hardware impairments in full duplex wireless systems experimental characterisation and suppression"):
  with members:
    - "on phase noise suppression in full duplex systems"
    - "cancellation of power amplifier induced nonlinear self interference in full duplex transceivers"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "improving physical layer secrecy using full duplex jamming receivers"
    - "full duplex cooperative cognitive radio with transmit imperfections"

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)