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 "non orthogonal multiple access with orthogonal time frequency space signal transmission"):
  Abstract: Orthogonal time frequency space (OTFS) is being pursued in recent times as a suitable wireless transmission technology for use in high mobility scenarios. In this work, we propose nonorthogonal multiple acess (NOMA) based OTFS which may be called NOMA-OTFS system and evaluate its performance from system level and link level perspective. The challenge lies in the fact that while OTFS transmission technology is known for its resilience to high mobility conditions, while NOMA is known to yield high spectral efficiency in low mobility scenarios in comparison to orthogonal multiple access (OMA). We present a minimum mean square error (MMSE)- successive interference cancellation (SIC) based receiver for NOMA-OTFS, for which we derive expression for symbol-wise post-processing SINR in order to evaluate system sum spectral efficiency (SE). We develop power allocation schemes to maximize the sum SE in the high-mobility version of NOMA. We further design a realizable codeword level SIC (CWIC) receiver using LDPC codes along with MMSE equalization for evaluating link level performance of such practical NOMA-OTFS system. The system level and link level performance of the proposed NOMA-OTFS system are compared against benchmark OMA-OTFS, OMA-orthogonal frequency division multiplexing (OMA-OFDM) and NOMA-OFDM schemes. From system-level performance evaluation, we observe interestingly that NOMA-OTFS provides higher sum SE than OMA-OTFS. When compared to NOMA-OFDM, we find that outage SE of NOMA-OTFS is improved at the cost of decrease in mean SE. Whereas link-level results show that the developed CWIC based NOMA-OTFS receiver performs significantly better than NOMA-OFDM in terms of block error rate (BLER), goodput and throughput.

Includes members:
  Member "otfs noma an efficient approach for exploiting heterogenous user mobility profiles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "otfs based receiver scheme with multi antennas in high mobility v2x systems")
  Member "low complexity lmmse receiver for otfs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "otfs interleaved ofdm with block cp")
  Member "robust beamforming design for otfs noma":
    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 "on the diversity of uncoded otfs modulation in doubly dispersive channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "otfs noma an efficient approach for exploiting heterogenous user mobility profiles")
  Member "a survey on non orthogonal multiple access for 5g networks research challenges and future trends":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "effective capacity of noma with finite blocklength for low latency communications")
  Member "fundamental limits of low density spreading noma with fading":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "code domain noma in massive mimo when is it needed")
  Member "sub channel assignment power allocation and user scheduling for non orthogonal multiple access networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "resource allocation in intelligent reflecting surface assisted noma systems")
  Member "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "massive access in beyond 5g iot networks with noma np hardness competitiveness and learning")

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)