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 "multiple access in the delay doppler domain using otfs modulation"):
  Abstract: Orthogonal time frequency space (OTFS) modulation is a recent modulation scheme designed in the delay-Doppler domain. It has been shown to achieve superior performance compared to conventional multicarrier modulation schemes designed in the time-frequency domain. In this paper, we consider OTFS based multiple access (OTFS-MA), where delay-Doppler bins serve as the resource blocks for multiple access. Different delay-Doppler resource blocks (DDRBs) in the delay-Doppler grid are allocated to different users for multiple access. We consider three different DDRB allocation schemes. While Scheme 1 multiplexes the users along the delay axis, Scheme 2 multiplexes them along the Doppler axis. In both these schemes, each user's signal spans the entire time-frequency plane. Scheme 3 allocates the DDRBs in such a way that each user's signal is limited to span only over a subset of the time-frequency plane. We study the performance of OTFS-MA in high mobility environments on the uplink and compare it with those of OFDMA and SC-FDMA. Our results show that OTFS-MA (with maximum-likelihood detection in small dimension systems and with a message passing based detection in large dimension systems) achieves better performance compared to OFDMA and SC-FDMA. We also present the performance of a multiuser channel estimation scheme using pilot symbols placed in the delay-Doppler grid.

Includes members:
  Member "on the diversity of otfs modulation in doubly dispersive channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "otfs noma an efficient approach for exploiting heterogenous user mobility profiles")
  Member "mimo otfs in high doppler fading channels signal detection and channel estimation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems")
  Member "orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "channel estimation for orthogonal time frequency space otfs massive mimo")
  Member "otfs a new generation of modulation addressing the challenges of 5g":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "otfs interleaved ofdm with block cp")
  Member "embedded pilot aided channel estimation for otfs in delay doppler channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "otfs interleaved ofdm with block cp")
  Member "interference cancellation and iterative detection for orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems")
  Member "a simple two stage equalizer with simplified orthogonal time frequency space modulation over rapidly time varying channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "channel estimation for orthogonal time frequency space otfs massive mimo")
  Member "low complexity modem structure for ofdm based orthogonal time frequency space modulation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "channel estimation for orthogonal time frequency space otfs massive mimo")

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)