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 "orthogonal precoding for ultra reliable wireless communication links"):
  Abstract: All diversity sources of a wireless communication channel must be utilized to enable ultra-reliable wireless communication links. Hadani et al. propose the two dimensional discrete symplectic Fourier transform (DSFT) as orthogonal pre-coder for orthogonal frequency division multiplexing (OFDM) in time- and frequency-selective channels. In this paper we investigate general orthogonal precoding (OP) and develop a low-complexity iterative channel estimation and (near) maximum likelihood detection algorithm using soft-symbol feedback. We present a general but compact framework to analyze the performance of OP and its ability to utilize time- and frequency-diversity. We are able to proof that all constant modulus sequences, e.g. such as the DSFT or Walsh-Hadamard sequences, lead to the same performance for OP. Our OP receiver is tested by numerical link level simulation for the DSFT, two dimensional discrete prolate spheroidal sequences, and Walsh-Hadamard sequences. We demonstrate that our receiver achieves a gain of about $4.8\,\text{dB}$ for a bit error rate of $10^{-4}$ compared to OFDM for a relative velocity of $0\ldots200\,\text{km/h}$ for the exemplary use-case of a vehicle-to-vehicle communication link.

Includes members:
  Member "performance characterization of a real time massive mimo system with los mobile channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hardware distortion correlation has negligible impact on ul massive mimo spectral efficiency")
  Member "low complexity equalization for orthogonal time and frequency signaling otfs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "orthogonal time frequency space modulation")
  Member "analysis of discrete time mimo ofdm based orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems")
  Member "low complexity modem structure for ofdm based orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "channel estimation for orthogonal time frequency space otfs massive mimo")
  Member "otfs orthogonal time frequency space":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission")
  Member "time and frequency varying k factor of non stationary vehicular channels for safety relevant scenarios":
    also connected through other hyperedges:
      (none)
  Member "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "toward intelligent vehicular networks a machine learning framework")
  Member "diversity of mmse mimo receivers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "integer forcing linear receivers a design criterion for full diversity stbcs")

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)