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 "an uplink control channel design with complementary sequences for unlicensed bands"):
  Abstract: In this study, we propose two schemes based on non-contiguous complementary sequences (CSs) for the uplink control channels in unlicensed bands. The first scheme is designed for non-coherent detectors and allows the users to transmit 1-2 bit information via CSs. This scheme addresses two complicated problems, i.e., minimization of peak-to-average-power ratio (PAPR) and multi-access interference, without introducing tradeoff between them. The second scheme exploits the generic CS encoder and enables at least 21 information bits for a single user or 11 bits/user for three users on the same frequency resources, respectively, while limiting the PAPR to a maximum of 3 dB for an orthogonal frequency division multiplexing (OFDM) symbol. To derive the proposed schemes, we use an extension of Golay's concatenation and interleaving methods. We obtain a new theorem which leads to a CS encoder compatible with a wide variety of non-contiguous resource allocations. The numerical results show that the proposed schemes maintain the PAPR benefits without increasing the error rate for non-contiguous resource allocations in the frequency domain.

Includes members:
  Member "a reliable uplink control channel design with complementary sequences":
    also connected through other hyperedges:
      (none)
  Member "a comparison of sc fde and uw dft s ofdm for millimeter wave communications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a reliable uplink control channel design with complementary sequences")
  Member "a generic complementary sequence encoder":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "golay layer limiting peak to average power ratio for ofdm based autoencoders")
  Member "simple maximum likelihood decoding of generalized first order reed muller codes":
    also connected through other hyperedges:
      (none)

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)