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: "high mobility ofdm downlink transmission with large scale antenna array"
  Abstract: In this correspondence, we propose a new receiver design for high-mobility orthogonal frequency-division multiplexing (OFDM) downlink transmissions with a large-scale antenna array. The downlink signal experiences the challenging fast time-varying propagation channel. The time-varying nature originates from the multiple carrier frequency offsets (CFOs) due to the transceiver oscillator frequency offset (OFO) and multiple Doppler shifts. Let the received signal first go through a carefully designed beamforming network, which could separate multiple CFOs in the spatial domain with a sufficient number of receive antennas. A joint estimation method for the Doppler shifts and the OFO is further developed. Then, the conventional single-CFO compensation and channel estimation method can be carried out for each beamforming branch. The proposed receiver design avoids the complicated time-varying channel estimation, which differs a lot from the conventional methods. More importantly, the proposed scheme can be applied to the commonly used time-varying channel models, such as the Jakes’ channel model.

Connected through hyperedge HE-1 (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems"):
  with members:
    - "low complexity linear equalization for otfs systems with rectangular waveforms"
    - "otfs noma an efficient approach for exploiting heterogenous user mobility profiles"
    - "robust beamforming design for otfs noma"
    - "channel estimation for orthogonal time frequency space otfs massive mimo"
    - "mimo otfs in high doppler fading channels signal detection and channel estimation"
    - "interference cancellation and iterative detection for orthogonal time frequency space modulation"
    - "analysis of discrete time mimo ofdm based orthogonal time frequency space modulation"

Connected through hyperedge HE-2 (induced by source paper "high mobility wideband massive mimo communications doppler compensation analysis and scaling law"):
  with members:
    - "a new view of multi user hybrid massive mimo non orthogonal angle division multiple access"
    - "frequency synchronization for uplink massive mimo systems"
    - "angle domain doppler pre compensation for high mobility ofdm uplink with a massive ula"
    - "directivity beamwidth tradeoff of massive mimo uplink beamforming for high speed train communication"
    - "bdma for millimeter wave terahertz massive mimo transmission with per beam synchronization"

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)