human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems"):
  Abstract: Vehicle-to-everything (V2X) is considered as one of the most important applications of future wireless communication networks. However, the Doppler effect caused by the vehicle mobility may seriously deteriorate the performance of the vehicular communication links, especially when the channels exhibit a large number of Doppler frequency offsets (DFOs). Orthogonal time frequency space (OTFS) is a new waveform designed in the delay-Doppler domain, and can effectively convert a doubly dispersive channel into an almost non-fading channel, which makes it very attractive for V2X communications. In this paper, we design a novel OTFS based receiver with multi-antennas to deal with the high-mobility challenges in V2X systems. We show that the multiple DFOs associated with multipaths can be separated with the high-spatial resolution provided by multi-antennas, which leads to an enhanced sparsity of the OTFS channel in the delay-Doppler domain and bears a potential to reduce the complexity of the message passing (MP) detection algorithm. Based on this observation, we further propose a joint MP-maximum ration combining (MRC) iterative detection for OTFS, where the integration of MRC significantly improves the convergence performance of the iteration and gains an excellent system error performance. Finally, we provide numerical simulation results to corroborate the superiorities of the proposed scheme.

Includes members:
  Member "low complexity linear equalization for otfs systems with rectangular waveforms":
    also connected through other hyperedges:
      (none)
  Member "otfs noma an efficient approach for exploiting heterogenous user mobility profiles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission")
  Member "robust beamforming design for otfs noma":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission")
  Member "channel estimation for orthogonal time frequency space otfs massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the effectiveness of otfs for joint radar and communication")
  Member "mimo otfs in high doppler fading channels signal detection and channel estimation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "otfs noma an efficient approach for exploiting heterogenous user mobility profiles")
  Member "interference cancellation and iterative detection for orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "otfs interleaved ofdm with block cp")
  Member "high mobility ofdm downlink transmission with large scale antenna array":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "high mobility wideband massive mimo communications doppler compensation analysis and scaling law")
  Member "analysis of discrete time mimo ofdm based orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "otfs noma an efficient approach for exploiting heterogenous user mobility profiles")

Question: Please tell me which class the source paper 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)