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: "towards 5g enabled tactile robotic telesurgery"
  Abstract: Robotic telesurgery has a potential to provide extreme and urgent health care services and bring unprecedented opportunities to deliver highly specialized skills globally. It has a significant societal impact and is regarded as one of the appealing use cases of Tactile Internet and 5G applications. However, the performance of robotic telesurgery largely depends on the network performance in terms of latency, jitter and packet loss, especially when telesurgical system is equipped with haptic feedback. This imposes significant challenges to design a reliable and secure but cost-effective communication solution. This article aims to give a better understanding of the characteristics of robotic telesurgical system, and the limiting factors, the possible telesurgery services and the communication quality of service (QoS) requirements of the multi-modal sensory data. Based on this, a viable network architecture enabled by the converged edge and core cloud is presented and the relevant research challenges, open issues and enabling technologies in the 5G communication system are discussed.

Connected through hyperedge HE-1 (induced by source paper "computation resource allocation for heterogeneous time critical iot services in mec"):
  with members:
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"
    - "latency and reliability aware task offloading and resource allocation for mobile edge computing"

Connected through hyperedge HE-2 (induced by source paper "adaptive task partitioning at local device or remote edge server for offloading in mec"):
  with members:
    - "wireless edge computing with latency and reliability guarantees"
    - "a survey on mobile edge computing the communication perspective"

Connected through hyperedge HE-3 (induced by source paper "ultra low latency ull networks the ieee tsn and ietf detnet standards and related 5g ull research"):
  with members:
    - "a basic result on the superposition of arrival processes in deterministic networks"
    - "end to end simulation of 5g mmwave networks"
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "5g fronthaul latency and jitter studies of cpri over ethernet"
    - "r fft function split at ifft fft in unified lte cran and cable access network"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "formal scheduling constraints for time sensitive networks"
    - "business case and technology analysis for 5g low latency applications"

Connected through hyperedge HE-4 (induced by source paper "towards 6g networks use cases and technologies"):
  with members:
    - "6g the next frontier"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "machine learning for networking workflow advances and opportunities"
    - "millimeter wave beam selection using out of band spatial information"
    - "millimeter wave vehicular communication to support massive automotive sensing"

Connected through hyperedge HE-5 (induced by source paper "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"):
  with members:
    - "minimizing latency to support vr social interactions over wireless cellular systems via bandwidth allocation"
    - "5g wireless network slicing for embb urllc and mmtc a communication theoretic view"
    - "toward low latency and ultra reliable virtual reality"
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"
    - "coverage and rate of downlink sequence transmissions with reliability guarantees"
    - "energy efficient resource allocation for mobile edge computing based augmented reality applications"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"
    - "user centric mobility management in ultra dense cellular networks under spatio temporal dynamics"

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.NI(Networking and Internet Architecture)