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: "5g waveforms for overlay d2d communications effects of time frequency misalignment"
  Abstract: This paper analyses a scenario where a Device-To-Device (D2D) pair coexists with an Orthogonal Frequency Division Multiplexing (OFDM) based incumbent network. D2D transmitter communicates in parts of spectrum left free by cellular users, while respecting a given spectral mask. The D2D pair is misaligned in time and frequency with the cellular users. Furthermore, the D2D pair utilizes alternative waveforms to OFDM proposed for 5G. In this study, we show that it is not worth synchronising the D2D pair in time with respect to the cellular users. Indeed, the interference injected into the incumbent network has small variations with respect to time misalignment. We provide interference tables that encompass both time and frequency misalignment. We use them to analyse the maximum rate achievable by the D2D pair when it uses different waveforms. Then, we present numerical results showing what waveform should be utilized by the D2D pair according to the time-frequency resources that are not used by the incumbent network. Our results show that the delay induced by linearly convolved waveforms make them hardly applicable to short time windows, but that they dominate OFDM for long transmissions, mainly in the case where cellular users are very sensitive to interference.

Connected through hyperedge HE-1 (induced by source paper "on spectral coexistence of cp ofdm and fb mc waveforms in 5g networks"):
  with members:
    - "coexistence in 5g analysis of cross interference between ofdm oqam and legacy users"
    - "modeling interference between ofdm oqam and cp ofdm limitations of the psd based model"
    - "coexistence of filter banks and cp ofdm what are the real gains"
    - "coexistence of ofdm and fbmc for underlay d2d communication in 5g networks"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "coexistence in 5g analysis of cross interference between ofdm oqam and legacy users"):
  with members:
    - "modeling interference between ofdm oqam and cp ofdm limitations of the psd based model"
    - "impact of timing and frequency offsets on multicarrier waveform candidates for 5g"

Connected through hyperedge HE-3 (induced by source paper "coexistence of filter banks and cp ofdm what are the real gains"):
  with members:
    - "coexistence in 5g analysis of cross interference between ofdm oqam and legacy users"
    - "modeling interference between ofdm oqam and cp ofdm limitations of the psd based model"

Connected through hyperedge HE-4 (induced by source paper "modeling interference between ofdm oqam and cp ofdm limitations of the psd based model"):
  with members:
    - "impact of timing and frequency offsets on multicarrier waveform candidates for 5g"

Connected through hyperedge HE-5 (induced by source paper "coexistence of ofdm and fbmc for underlay d2d communication in 5g networks"):
  with members:
    - "modeling interference between ofdm oqam and cp ofdm limitations of the psd based model"

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)