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: "impact of device orientation on error performance of lifi systems"
  Abstract: Most studies on optical wireless communications (OWCs) have neglected the effect of random orientation in their performance analysis due to the lack of a proper model for the random orientation. Our recent empirical-based research illustrates that the random orientation follows a Laplace distribution for static user equipment (UE). In this paper, we analyze the device orientation and assess its importance on system performance. The probability of establishing a line-of-sight link is investigated and the probability density function (PDF) of signal-to-noise ratio (SNR) for a randomly-oriented device is derived. By means of the PDF of SNR, the bit-error ratio (BER) of DC biased optical orthogonal frequency division multiplexing (DCO-OFDM) in additive white Gaussian noise (AWGN) channels is evaluated. A closed form approximation for the BER of UE with random orientation is presented which shows a good match with Monte-Carlo simulation results.

Connected through hyperedge HE-1 (induced by source paper "hybrid lifi and wifi networks a survey"):
  with members:
    - "modeling the random orientation of mobile devices measurement analysis and lifi use case"
    - "bidirectional user throughput maximization based on feedback reduction in lifi networks"
    - "ieee 802 11ax high efficiency wlans"
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "optical adaptive precoding for visible light communications"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "on the accuracy of the wyner model in cellular networks"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-2 (induced by source paper "modeling the random orientation of mobile devices measurement analysis and lifi use case"):
  with members:
    - "impact of random receiver orientation on visible light communications channel"
    - "bidirectional user throughput maximization based on feedback reduction in lifi networks"

Connected through hyperedge HE-3 (induced by source paper "impact of random receiver orientation on visible light communications channel"):
  with members:
    - "modeling the random orientation of mobile devices measurement analysis and lifi use case"
    - "pixelated vlc backscattering for self charging indoor iot devices"
    - "a software defined multi element vlc architecture"
    - "multi element vlc networks led assignment power control and optimum combining"

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)