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: "on coordinating ultra dense wireless access networks optimization modeling algorithms and insights"
  Abstract: Network densification along with universal resources reuse is expected to play a key role in the realization of 5G radio access as an enabler for delivering most of the anticipated network capacity improvements. On the one hand, neither the expected additional spectrum allocation nor the forthcoming novel air-interface processing techniques will be sufficient for sustaining the anticipated exponentially-increasing mobile data traffic. On the other hand, enhanced ultra-dense infrastructure deployments are expected to provide remarkable capacity gains, regardless of the evolutionary or revolutionary approach followed towards 5G development. In this work, we thoroughly examine global network coordination as the main enabler for future 5G large dense small-cell deployments. We propose a powerful radio resources coordination framework through which interference management is handled network-wise and jointly over multiple dimensions. In particular, we explore strategies for pairing serving and served access nodes, partitioning the available network resources, as well as dynamically allocating power per pair, towards optimizing system performance and guaranteeing individual minimum performance levels. We develop new optimization formulations, providing network scaling performance upper bounds, along with lower complexity algorithmic solutions tailored to large networks. We apply the proposed solutions to dense network deployments, in order to obtain useful insights on network performance and optimization, such as rate scaling, infrastructure density, optimal bandwidth partitioning and spatial reuse factor optimization.

Connected through hyperedge HE-1 (induced by source paper "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"):
  with members:
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "why to decouple the uplink and downlink in cellular networks and how to do it"
    - "resource management and cell planning in millimeter wave overlaid ultra dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "effect of los nlos propagation on ultra dense networks"
    - "tractable resource management in millimeter wave overlaid ultra dense cellular networks"
    - "are we approaching the fundamental limits of wireless network densification"
    - "downlink cellular network analysis with multi slope path loss models"

Connected through hyperedge HE-2 (induced by source paper "spatio temporal network dynamics framework for energy efficient ultra dense cellular networks"):
  with members:
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "energy efficient resource management in ultra dense small cell networks a mean field approach"
    - "five disruptive technology directions for 5g"
    - "analysis of blockage effects on urban cellular networks"
    - "coverage and economy of cellular networks with many base stations"
    - "adaptive training for correlated fading channels with feedback"
    - "downlink capacity and base station density in cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "ultra dense networks the new wireless frontier for enabling 5g access"):
  with members:
    - "spatial coordination strategies in future ultra dense wireless networks"
    - "what will 5g be"
    - "access point density and bandwidth partitioning in ultra dense wireless networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "asymptotic behavior of ultra dense cellular networks and its economic impact"):
  with members:
    - "analysis of cell load coupling for lte network planning and optimization"
    - "coverage and economy of cellular networks with many base stations"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"
    - "downlink capacity and base station density in cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

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)