human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"):
  Abstract: The forthcoming 5G cellular network is expected to overlay millimeter-wave (mmW) transmissions with the incumbent micro-wave (  $\mu\text{W}$  ) architecture. The overall mm-  $\mu\text{W}$   resource management should, therefore, harmonize with each other. This paper aims at maximizing the overall downlink (DL) rate with a minimum uplink (UL) rate constraint, and concludes: mmW tends to focus more on DL transmissions while   $\mu\text{W}$   has high priority for complementing UL, under time-division duplex (TDD) mmW operations. Such UL dedication of   $\mu\text{W}$   results from the limited use of mmW UL bandwidth due to excessive power consumption and/or high peak-to-average power ratio (PAPR) at mobile users. To further relieve this UL bottleneck, we propose mmW UL decoupling that allows each legacy   $\mu\text{W}$   base station (BS) to receive mmW signals. Its impact on mm-  $\mu\text{W}$   resource management is provided in a tractable way by virtue of a novel closed-form mm-  $\mu\text{W}$   spectral efficiency (SE) derivation. In an ultra-dense cellular network (UDN), our derivation verifies mmW (or   $\mu\text{W}$  ) SE is a logarithmic function of BS-to-user density ratio. This strikingly simple yet practically valid analysis is enabled by exploiting stochastic geometry in conjunction with real three-dimensional (3-D) building blockage statistics in Seoul, South Korea.

Includes members:
  Member "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "capacity bounds for communication systems with quantization and spectral constraints")
  Member "why to decouple the uplink and downlink in cellular networks and how to do it":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "performance of network assisted full duplex for cell free massive mimo")
  Member "resource management and cell planning in millimeter wave overlaid ultra dense cellular networks":
    also connected through other hyperedges:
      (none)
  Member "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "game theory for multi access edge computing survey use cases and future trends")
  Member "effect of los nlos propagation on ultra dense networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks")
  Member "tractable resource management in millimeter wave overlaid ultra dense cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics")
  Member "are we approaching the fundamental limits of wireless network densification":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "resource management in wireless networks via multi agent deep reinforcement learning")
  Member "downlink cellular network analysis with multi slope path loss models":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")

Question: Please tell me which class the source paper 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)