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: "best signal quality in cellular networks asymptotic properties and applications to mobility management in small cell networks"
  Abstract: The quickly increasing data traffic and the user demand for a full coverage of mobile services anywhere and anytime are leading mobile networking into a future of small cell networks. However, due to the high-density and randomness of small cell networks, there are several technical challenges. In this paper, we investigate two critical issues: best signal quality and mobility management. Under the assumptions that base stations are uniformly distributed in a ring-shaped region and that shadowings are lognormal, independent, and identically distributed, we prove that when the number of sites in the ring tends to infinity, then (i) the maximum signal strength received at the center of the ring tends in distribution to a Gumbel distribution when properly renormalized, and (ii) it is asymptotically independent of the interference. Using these properties, we derive the distribution of the best signal quality. Furthermore, an optimized random cell scanning scheme is proposed, based on the evaluation of the optimal number of sites to be scanned for maximizing the user data throughput.

Connected through hyperedge HE-1 (induced by source paper "performance limits of network densification"):
  with members:
    - "coverage and capacity scaling laws in downlink ultra dense cellular networks"
    - "how dense is ultra dense for wireless networks from far to near field communications"
    - "impact of los nlos propagation and path loss in ultra dense cellular networks"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "a unified fading model using infinitely divisible distributions"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas"
    - "downlink cellular network analysis with multi slope path loss models"

Connected through hyperedge HE-2 (induced by source paper "coverage and capacity scaling laws in downlink ultra dense cellular networks"):
  with members:
    - "a unified fading model using infinitely divisible distributions"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "28 ghz and 73 ghz millimeter wave indoor propagation measurements and path loss models"
    - "downlink cellular network analysis with multi slope path loss models"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "a unified stochastic model of handover measurement in mobile networks"):
  with members:
    - "some properties of large excursions of a stationary gaussian process"

Connected through hyperedge HE-4 (induced by source paper "physical layer network coding tutorial survey and beyond"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "eigen direction alignment based physical layer network coding for mimo two way relay channels"
    - "asynchronous physical layer network coding"
    - "optimal decoding algorithm for asynchronous physical layer network coding"
    - "non memoryless analog network coding in two way relay channel"
    - "reliable physical layer network coding"
    - "blind known interference cancellation"
    - "wireless mimo switching with zero forcing relaying and network coded relaying"

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)