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 "integrated millimeter wave and sub 6 ghz wireless networks a roadmap for ultra reliable low latency communications"):
  Abstract: Emerging wireless services such as augmented reality require next-generation wireless networks to support ultra-reliable and low-latency communication (URLLC), while also guaranteeing high data rates. Existing wireless networks that solely rely on the scarce sub-6 GHz, microwave ($\mu$W) frequency bands will be unable to meet the low-latency, high capacity requirements of future wireless services. Meanwhile, operating at high-frequency millimeter wave (mmWave) bands is seen as an attractive solution, primarily due to the bandwidth availability and possibility of large-scale multi-antenna communication. However, even though leveraging the large bandwidth at mmWave frequencies can potentially boost the wireless capacity and reduce the transmission delay for low-latency applications, mmWave communication is inherently unreliable due to its susceptibility to blockage, high path loss, and channel uncertainty. Hence, to provide URLLC and high-speed wireless access, it is desirable to seamlessly integrate the reliability of $\mu$W networks with the high capacity of mmWave networks. To this end, in this paper, the first comprehensive tutorial for integrated mmWave-$\mu$W communications is introduced. This envisioned integrated design will enable wireless networks to achieve URLLC along with high data rates by leveraging the best of two worlds: reliable, long-range communications at the $\mu$W bands and directional high-speed communications at the mmWave frequencies. To achieve this goal, key solution concepts are developed that include new architectures for the radio interface, URLLC-aware frame structure and resource allocation methods along with learning techniques, as well as mobility management, to realize the potential of integrated mmWave-$\mu$W communications. The opportunities and challenges of each proposed scheme are discussed and key results are presented.

Includes members:
  Member "ultra reliable and low latency wireless communication tail risk and scale":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimized age of information tail for ultra reliable low latency communications in vehicular networks")
  Member "low latency heterogeneous networks with millimeter wave communications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analyzing the tradeoffs in using millimeter wave directional links for high data rate tactile internet applications")
  Member "caching meets millimeter wave communications for enhanced mobility management in 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a tutorial on beam management for 3gpp nr at mmwave frequencies")
  Member "virtual reality over wireless networks quality of service model and learning based resource management":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "risk based optimization of virtual reality over terahertz reconfigurable intelligent surfaces")
  Member "improved handover through dual connectivity in 5g mmwave mobile networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wireless edge computing with latency and reliability guarantees")
  Member "achieving ultra low latency in 5g millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "analyzing the tradeoffs in using millimeter wave directional links for high data rate tactile internet applications")
  Member "joint millimeter wave and microwave resources allocation in cellular networks with dual mode base stations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deep learning for mmwave beam and blockage prediction using sub 6ghz channels")
  Member "performance comparison of dual connectivity and hard handover for lte 5g tight integration in mmwave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "integration of carrier aggregation and dual connectivity for the ns 3 mmwave module")

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)