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: "how to mobilize mmwave a joint beam and channel tracking approach"
  Abstract: Maintaining reliable millimeter wave (mmWave) connections to many fast-moving mobiles is a key challenge in the theory and practice of 5G systems. In this paper, we develop a new algorithm that can jointly track the direction and channel coefficient of mmWave beams in phased antenna arrays. Despite the significant difficulty in this problem, our algorithm can simultaneously achieve fast tracking speed, high tracking accuracy, and low pilot overhead. In static scenarios, this algorithm can converge to the minimum Cram\'er-Rao lower bound (CRLB) of beam tracking with high probability. In dynamic scenarios, this algorithm greatly outperforms existing algorithms in simulations. Even at SNRs as low as 5dB, our algorithm is capable of tracking a mobile moving at an angular velocity of 5.45 degrees per second and achieving over 95\% of channel capacity with a 32-antenna phased array, by inserting only 10 pilots per second.

Connected through hyperedge HE-1 (induced by source paper "fast accurate beam and channel tracking for two dimensional phased antenna array"):
  with members:
    - "analog beam tracking in linear antenna arrays convergence optimality and performance"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "auxiliary beam pair enabled aod and aoa estimation in closed loop large scale mmwave mimo systems"
    - "mobile millimeter wave channel acquisition tracking and abrupt change detection"
    - "28 ghz millimeter wave ultrawideband small scale fading models in wireless channels"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"
    - "hybrid beamforming for massive mimo a survey"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"

Connected through hyperedge HE-2 (induced by source paper "super fast beam and channel tracking in 2d phased antenna arrays"):
  with members:
    - "analog beam tracking in linear antenna arrays convergence optimality and performance"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "auxiliary beam pair enabled aod and aoa estimation in closed loop large scale mmwave mimo systems"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "hybrid beamforming for massive mimo a survey"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "compressed sensing based multi user millimeter wave systems how many measurements are needed"

Connected through hyperedge HE-3 (induced by source paper "fast analog beam tracking in phased antenna arrays theory and performance"):
  with members:
    - "communication computing and caching for mobile vr delivery modeling and trade off"
    - "new beam tracking technique for millimeter wave band communications"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "hybrid beamforming for massive mimo a survey"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "tracking angles of departure and arrival in a mobile millimeter wave 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)