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 "constellation precoded multiple beamforming"):
  Abstract: Beamforming techniques that employ Singular Value Decomposition (SVD) are commonly used in Multi-Input Multi-Output (MIMO) wireless communication systems. In the absence of channel coding, when a single symbol is transmitted, these systems achieve the full diversity order provided by the channel; whereas when multiple symbols are simultaneously transmitted, this property is lost. When channel coding is employed, full diversity order can be achieved. For example, when Bit-Interleaved Coded Modulation (BICM) is combined with this technique, full diversity order of NM in an MxN MIMO channel transmitting S parallel streams is possible, provided a condition on S and the BICM convolutional code rate is satisfied. In this paper, we present constellation precoded multiple beamforming which can achieve the full diversity order both with BICM-coded and uncoded SVD systems. We provide an analytical proof of this property. To reduce the computational complexity of Maximum Likelihood (ML) decoding in this system, we employ Sphere Decoding (SD). We report an SD technique that reduces the computational complexity beyond commonly used approaches to SD. This technique achieves several orders of magnitude reduction in computational complexity not only with respect to conventional ML decoding but also, with respect to conventional SD.

Includes members:
  Member "augmented lattice reduction for mimo decoding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "decoding by sampling part ii derandomization and soft output decoding")
  Member "constellation precoded beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "full diversity precoding design of bit interleaved coded multiple beamforming with orthogonal frequency division multiplexing")
  Member "diversity analysis of bit interleaved coded multiple beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "full diversity precoding design of bit interleaved coded multiple beamforming with orthogonal frequency division multiplexing")
  Member "reduced complexity sphere decoding for square qam via a new lattice representation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "full diversity precoding design of bit interleaved coded multiple beamforming with orthogonal frequency division multiplexing")
  Member "a near maximum likelihood decoding algorithm for mimo systems based on semi definite programming":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the equivalence of semidifinite relaxations for mimo detection with general constellations")

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)