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: "quadrature amplitude modulation division for multiuser miso broadcast channels"
  Abstract: This paper considers a discrete-time multiuser multiple-input single-output (MISO) Gaussian broadcast channel (BC), in which channel state information is available at both the transmitter and the receivers. The flexible and explicit design of a uniquely decomposable constellation group is provided based on pulse amplitude modulation and rectangular quadrature amplitude modulation constellations. With this, a modulation division (MD) transmission scheme is developed for the MISO BC. The proposed MD scheme enables each receiver to uniquely and efficiently detect their desired signals from the superposition of mutually interfering cochannel signals in the absence of noise. In our design, the optimal transmitter beamforming problem is solved in a closed-form for two-user MISO BC using max–min fairness as a design criterion. Then, for a general case with more than two receivers, we develop a user-grouping-based beamforming scheme, where the grouping method, beamforming vector design and power allocation problems are addressed by using weighted max–min fairness. It is shown that our proposed approach has a lower probability of error compared with the zero-forcing (ZF) method when the Hermitian angle between the two channel vectors is small in a two-user case. In addition, simulation results also reveal that for the general channel model with more than two users, our user-grouping-based scheme significantly outperforms the ZF, time division, minimum mean-square error, and signal-to-leakage-and-noise ratio-based techniques in moderate and high SNR regimes when the number of users approaches to the number of base station (BS) antennas and it degrades into the ZF scheme when the number of users is far less than the number of BS antennas in Rayleigh fading channels.

Connected through hyperedge HE-1 (induced by source paper "blind signal classification analysis and impact on user scheduling and power allocation in nonorthogonal multiple access"):
  with members:
    - "bi directional cooperative noma without full csit"
    - "optimal user scheduling and power allocation for millimeter wave noma systems"
    - "on optimal power allocation for downlink non orthogonal multiple access systems"
    - "fairness for non orthogonal multiple access in 5g systems"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "noncoherent and non orthogonal massive simo for critical industrial iot communications"):
  with members:
    - "fractional programming for communication systems part i power control and beamforming"
    - "ultra reliable low latency cellular networks use cases challenges and approaches"
    - "design and performance analysis of noncoherent detection systems with massive receiver arrays"
    - "energy based modulation for noncoherent massive simo systems"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

Connected through hyperedge HE-3 (induced by source paper "noncoherent multiuser massive simo for low latency industrial iot communications"):
  with members:
    - "ultra reliable low latency cellular networks use cases challenges and approaches"
    - "design and performance analysis of noncoherent detection systems with massive receiver arrays"

Connected through hyperedge HE-4 (induced by source paper "uplink non orthogonal multiple access with finite alphabet inputs"):
  with members:
    - "on non orthogonal multiple access with finite alphabet inputs in z channels"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "capacity comparison between mimo noma and mimo oma with multiple users in a cluster"
    - "joint rate control and power allocation for non orthogonal multiple access systems"
    - "nonorthogonal multiple access in large scale underlay cognitive radio networks"
    - "relay selection for cooperative noma"
    - "non orthogonal multiple access in multi cell networks theory performance and practical challenges"
    - "on the gaussian many to one x channel"

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)