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: "beamforming in miso systems empirical results and evm based analysis"
  Abstract: We show that efficient implementation of codebook-based beamforming Multiple Input Single Output (MISO) systems with good performance is feasible in the presence of channel-induced imperfections (due to imperfect channel estimate and feedback delay) and implementation-induced imperfections (due to real-world radio hardware effects). To present our results, we adopt a mixed approach of analytical, simulation, and experimental evaluation. Our analytical and simulation results take into account channel-induced imperfections but do not take into account implementation-induced imperfections (which are difficult to model in a tractable way). Thus, we complement these results with experimental results that do take into account both channel and implementation-induced imperfections. This mixed approach provides a more complete picture of expected performance. As part of our study we develop a framework for Average Error Vector Magnitude Squared (AEVMS)-based analysis of beamforming MISO systems which facilitates comparison of analytical, simulation, and experimental results on the same scale. In addition, AEVMS allows fair comparison of experimental results obtained from different wireless testbeds. We derive novel expressions for the AEVMS of beamforming MISO systems and show how the AEVMS relates to important system characteristics like the diversity gain, coding gain, and error floor.

Connected through hyperedge HE-1 (induced by source paper "softnull many antenna full duplex wireless via digital beamforming"):
  with members:
    - "opportunistic scheduling for full duplex uplink downlink networks"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "massive mimo for next generation wireless systems"
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "massive mu mimo downlink tdd systems with linear precoding and downlink pilots"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "effects of channel aging in massive mimo systems"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-2 (induced by source paper "experimental evaluation of a reconfigurable antenna system for blind interference alignment"):
  with members:
    - "exploiting channel correlations simple interference alignment schemes with no csit"

Connected through hyperedge HE-3 (induced by source paper "passive self interference suppression for full duplex infrastructure nodes"):
  with members:
    - "design and characterization of a full duplex multiantenna system for wifi networks"
    - "understanding the impact of phase noise on active cancellation in wireless full duplex"
    - "experiment driven characterization of full duplex wireless systems"
    - "full duplex bidirectional mimo achievable rates under limited dynamic range"
    - "pushing the limits of full duplex design and real time implementation"

Connected through hyperedge HE-4 (induced by source paper "experiment driven characterization of full duplex wireless systems"):
  with members:
    - "pushing the limits of full duplex design and real time implementation"

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)