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: "an examination of the benefits of scalable tti for heterogeneous traffic management in 5g networks"
  Abstract: The rapid growth in the number and variety of connected devices requires 5G wireless systems to cope with a very heterogeneous traffic mix. As a consequence, the use of a fixed TTI during transmission is not necessarily the most efficacious method when heterogeneous traffic types need to be simultaneously serviced.This work analyzes the benefits of scheduling based on exploiting scalable TTI, where the channel assignment and the TTI duration are adapted to the deadlines and requirements of different services. We formulate an optimization problem by taking individual service requirements into consideration. We then prove that the optimization problem is NP-hard and provide a heuristic algorithm, which provides an effective solution to the problem. Numerical results show that our proposed algorithm is capable of finding near-optimal solutions to meet the latency requirements of mission critical communication services, while providing a good throughput performance for mobile broadband services.

Connected through hyperedge HE-1 (induced by source paper "complexity of urllc scheduling and efficient approximation schemes"):
  with members:
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "joint scheduling of urllc and embb traffic in 5g wireless networks"
    - "delay performance of miso wireless communications"

Connected through hyperedge HE-2 (induced by source paper "resource optimization with flexible numerology and frame structure for heterogeneous services"):
  with members:
    - "joint scheduling of urllc and embb traffic in 5g wireless networks"
    - "resource scheduling for mixed traffic types with scalable tti in dynamic tdd systems"
    - "a performance study of energy minimization for interleaved and localized fdma"
    - "filtered ofdm enabler for flexible waveform in the 5th generation cellular networks"
    - "on tractability aspects of optimal resource allocation in ofdma systems"

Connected through hyperedge HE-3 (induced by source paper "dynamic power control for packets with deadlines"):
  with members:
    - "resource optimization with flexible numerology and frame structure for heterogeneous services"
    - "power control for packet streaming with head of line deadlines"
    - "power control and scheduling under hard deadline constraints for on off fading channels"
    - "a survey on delay aware resource control for wireless systems large deviation theory stochastic lyapunov drift and distributed stochastic learning"

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)