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: "multiple access for 5g new radio categorization evaluation and challenges"
  Abstract: Next generation wireless networks require massive uplink connections as well as high spectral efficiency. It is well known that, theoretically, it is not possible to achieve the sum capacity of multi-user communications with orthogonal multiple access. To meet the challenging requirements of next generation networks, researchers have explored non-orthogonal and overloaded transmission technologies-known as new radio multiple access (NR-MA) schemes-for fifth generation (5G) networks. In this article, we discuss the key features of the promising NR-MA schemes for the massive uplink connections. The candidate schemes of NR-MA can be characterized by multiple access signatures (MA-signatures), such as codebook, sequence, and interleaver/scrambler. At the receiver side, advanced multi-user detection (MUD) schemes are employed to extract each user's data from non-orthogonally superposed data according to MA-signatures. Through link-level simulations, we compare the performances of NR-MA candidates under the same conditions. We further evaluate the sum rate performances of the NR-MA schemes using a 3-dimensional (3D) ray tracing tool based system-level simulator by reflecting realistic environments. Lastly, we discuss the tips for system operations as well as call attention to the remaining technical challenges.

Connected through hyperedge HE-1 (induced by source paper "ultrareliable and low latency communication techniques for tactile internet services"):
  with members:
    - "map based millimeter wave channel models an overview guidelines and data"
    - "relationship between cross polarization discrimination xpd and spatial correlation in indoor small cell mimo systems"
    - "compact full duplex mimo radios in d2d underlaid cellular networks from system design to prototype results"
    - "rf lens embedded massive mimo systems fabrication issues and codebook design"
    - "degrees of freedom of full duplex cellular networks with reconfigurable antennas at base station"
    - "filtered ofdm enabler for flexible waveform in the 5th generation cellular networks"
    - "performance analysis of massive mimo for cell boundary users"
    - "prototyping real time full duplex radios"

Connected through hyperedge HE-2 (induced by source paper "optimized resource provisioning and operation control for low power wide area iot networks"):
  with members:
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "grant free radio access iot networks scalability analysis in coexistence scenarios"
    - "wireless access for ultra reliable low latency communication urllc principles and building blocks"
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "non orthogonal multiple access noma in cellular uplink and downlink challenges and enabling techniques"
    - "2d time frequency interference modelling using stochastic geometry for performance evaluation in low power wide area networks"
    - "interference and outage in clustered wireless ad hoc networks"

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)