human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "energy efficient symbol level precoding in multiuser miso channels"
  Abstract: This paper investigates the idea of exploiting interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Using symbol level precoding, a new approach towards addressing the multiuser interference is discussed through jointly utilizing the channel state information (CSI) and data information (DI). In this direction, the interference among the data streams is transformed under certain conditions to useful signal that can improve the signal to interference noise ratio (SINR) of the downlink transmissions. In this context, new constructive interference precoding techniques that tackle the transmit power minimization (min power) with individual SINR constraints at each user's receivers are proposed. Furthermore, we investigate the CI precoding design under the assumption that the received MPSK symbol can reside in a relaxed region in order to be correctly detected.

Connected through hyperedge HE-1 (induced by source paper "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"):
  with members:
    - "symbol level multiuser miso precoding for multi level adaptive modulation a multicast view"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "a multicast approach for constructive interference precoding in miso downlink channel"
    - "full frequency reuse multibeam satcoms frame based precoding and user scheduling"

Connected through hyperedge HE-2 (induced by source paper "symbol level multiuser miso precoding for multi level adaptive modulation"):
  with members:
    - "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
    - "directional modulation via symbol level precoding a way to enhance security"
    - "precoding in multibeam satellite communications present and future challenges"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"

Connected through hyperedge HE-3 (induced by source paper "symbol level multiuser miso precoding for multi level adaptive modulation a multicast view"):
  with members:
    - "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "a multicast approach for constructive interference precoding in miso downlink channel"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"

Question: Please tell me which class the center node 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)