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: "optimized lte data transmission procedures for iot device side energy consumption analysis"
  Abstract: The efficient deployment of Internet of Things (IoT) over cellular networks, such as Long Term Evolution (LTE) or the next generation 5G, entails several challenges. For massive IoT, reducing the energy consumption on the device side becomes essential. One of the main characteristics of massive IoT is small data transmissions. To improve the support of them, the 3GPP has included two novel optimizations in LTE: one of them based on the Control Plane (CP), and the other on the User Plane (UP). In this paper, we analyze the average energy consumption per data packet using these two optimizations compared to conventional LTE Service Request procedure. We propose an analytical model to calculate the energy consumption for each procedure based on a Markov chain. In the considered scenario, for large and small Inter-Arrival Times (IATs), the results of the three procedures are similar. While for medium IATs CP reduces the energy consumption per packet up to 87% due to its connection release optimization.

Connected through hyperedge HE-1 (induced by source paper "latency energy tradeoff based on channel scheduling and repetitions in nb iot systems"):
  with members:
    - "self organized low power iot networks a distributed learning approach"
    - "an enhanced access reservation protocol with a partial preamble transmission mechanism in nb iot systems"
    - "narrowband iot data transmission procedures for massive machine type communications"
    - "evaluating the performance of emtc and nb iot for smart city applications"
    - "random access preamble design and detection for 3gpp narrowband iot systems"
    - "adaptive drx scheme to improve energy efficiency in lte networks with bounded delay"
    - "assessment of lte wireless access for monitoring of energy distribution in the smart grid"

Connected through hyperedge HE-2 (induced by source paper "design and analysis of 5g scenarios with simmer an r package for fast des prototyping"):
  with members:
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "narrowband iot data transmission procedures for massive machine type communications"):
  with members:
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "assessment of lte wireless access for monitoring of energy distribution in the smart grid"

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)