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: "diversity integration tradeoffs in mimo detection"
  Abstract: In this paper, a multiple-input multiple-output (MIMO) detection problem is considered. At first, we derive the generalized likelihood ratio test (GLRT) for arbitrary transmitted signals and arbitrary time-correlation of the disturbance. Then, we investigate design criteria for the transmitted waveforms in both power-unlimited and power-limited systems and we derive closed-form formulas for the probability of false alarm and the detection probability. Finally, we study the interplay among the rank of the optimized space-time code (i.e., the number of linearly independent transmitted waveforms), the number of transmit diversity paths generated in the signal space, and the amount of energy integrated along each path. The results confirm that there is an inherent tradeoff between diversity and integration, and that no uniformly optimum waveform design strategy exists.

Connected through hyperedge HE-1 (induced by source paper "ambiguity function of the transmit beamspace based mimo radar"):
  with members:
    - "spatial compressive sensing for mimo radar"
    - "efficient transmit beamspace design for search free based doa estimation in mimo radar"
    - "moving target parameters estimation in noncoherent mimo radar systems"
    - "transmit energy focusing for doa estimation in mimo radar with colocated antennas"
    - "optimal joint target detection and parameter estimation by mimo radar"
    - "mimo radar using compressive sampling"
    - "phased mimo radar a tradeoff between phased array and mimo radars"

Connected through hyperedge HE-2 (induced by source paper "efficient transmit beamspace design for search free based doa estimation in mimo radar"):
  with members:
    - "moving target parameters estimation in noncoherent mimo radar systems"
    - "transmit energy focusing for doa estimation in mimo radar with colocated antennas"
    - "phased mimo radar a tradeoff between phased array and mimo radars"

Connected through hyperedge HE-3 (induced by source paper "moving target parameters estimation in noncoherent mimo radar systems"):
  with members:
    - "transmit energy focusing for doa estimation in mimo radar with colocated antennas"

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.OH(Other Computer Science)