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: "coordinated dynamic spectrum management of lte u and wi fi networks"
  Abstract: This paper investigates the co-existence of Wi-Fi and LTE networks in emerging unlicensed frequency bands which are intended to accommodate multiple radio access technologies. Wi-Fi and LTE are the two most prominent wireless access technologies being deployed today, motivating further study of the inter-system interference arising in such shared spectrum scenarios as well as possible techniques for enabling improved co-existence. An analytical model for evaluating the baseline performance of co-existing Wi-Fi and LTE networks is developed and used to obtain baseline performance measures. The results show that both Wi-Fi and LTE networks cause significant interference to each other and that the degradation is dependent on a number of factors such as power levels and physical topology. The model-based results are partially validated via experimental evaluations using USRP-based SDR platforms on the ORBIT testbed. Further, inter-network coordination with logically centralized radio resource management across Wi-Fi and LTE systems is proposed as a possible solution for improved co-existence. Numerical results are presented showing significant gains in both Wi-Fi and LTE performance with the proposed inter-network coordination approach.

Connected through hyperedge HE-1 (induced by source paper "ofdmfi enabling cross technology communication between lte u laa and wifi"):
  with members:
    - "free side channel cross technology communication in wireless networks"
    - "srslte an open source platform for lte evolution and experimentation"

Connected through hyperedge HE-2 (induced by source paper "modeling and performance analysis of spatially distributed lte u and wi fi networks"):
  with members:
    - "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum"

Connected through hyperedge HE-3 (induced by source paper "enhancing spectral utilization by maximizing the reuse in lte network"):
  with members:
    - "modeling heterogeneous network interference using poisson point processes"

Connected through hyperedge HE-4 (induced by source paper "energy efficient and fair resource allocation for lte unlicensed uplink networks a two sided matching approach with partial information"):
  with members:
    - "stable marriage problem with ties and incomplete bounded length preference list under social stability"
    - "coexistence of wi fi and heterogeneous small cell networks sharing unlicensed spectrum"
    - "matching theory for future wireless networks fundamentals and applications"

Connected through hyperedge HE-5 (induced by source paper "analysis of csat performance in wi fi and lte u coexistence"):
  with members:
    - "embedding lte u within wi fi bands for spectrum efficiency improvement"
    - "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum"
    - "unlicensed lte wifi coexistence is lbt inherently fairer than csat"

Connected through hyperedge HE-6 (induced by source paper "the future is unlicensed coexistence in the unlicensed spectrum for 5g"):
  with members:
    - "coexistence gaps in space cross technology interference nulling for improving lte u wifi coexistence"

Connected through hyperedge HE-7 (induced by source paper "proactive resource management for lte in unlicensed spectrum a deep learning perspective"):
  with members:
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "echo state networks for self organizing resource allocation in lte u with uplink downlink decoupling"
    - "lstm a search space odyssey"
    - "inter operator resource management for millimeter wave multi hop backhaul networks"
    - "deep learning based dynamic watermarking for secure signal authentication in the internet of things"
    - "holistic small cell traffic balancing across licensed and unlicensed bands"
    - "learning to cooperate via policy search"
    - "long short term memory based recurrent neural network architectures for large vocabulary speech recognition"

Connected through hyperedge HE-8 (induced by source paper "survey of spectrum sharing for inter technology coexistence"):
  with members:
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "grant free radio access iot networks scalability analysis in coexistence scenarios"
    - "inter technology coexistence in a spectrum commons a case study of wi fi and lte in the 5 ghz unlicensed band"
    - "fair coexistence of scheduled and random access wireless networks unlicensed lte wifi"
    - "ieee 802 11ax high efficiency wlans"
    - "embedding lte u within wi fi bands for spectrum efficiency improvement"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum"

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)