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: "massive non orthogonal multiple access for cellular iot potentials and limitations"
  Abstract: The Internet of Things promises ubiquitous connectivity of everything everywhere, which represents the biggest technology trend in the years to come. It is expected that by 2020 over 25 billion devices will be connected to cellular networks; far beyond the number of devices in current wireless networks. Machine-to-machine communications aims to provide the communication infrastructure for enabling IoT by facilitating the billions of multi-role devices to communicate with each other and with the underlying data transport infrastructure without, or with little, human intervention. Providing this infrastructure will require a dramatic shift from the current protocols mostly designed for human-to-human applications. This article reviews recent 3GPP solutions for enabling massive cellular IoT and investigates the random access strategies for M2M communications, which shows that cellular networks must evolve to handle the new ways in which devices will connect and communicate with the system. A massive non-orthogonal multiple access technique is then presented as a promising solution to support a massive number of IoT devices in cellular networks, where we also identify its practical challenges and future research directions.

Connected through hyperedge HE-1 (induced by source paper "mimo noma networks relying on reconfigurable intelligent surface a signal cancellation based design"):
  with members:
    - "intelligent reflecting surface assisted multiple access with user pairing noma or oma"
    - "enabling panoramic full angle reflection via aerial intelligent reflecting surface"
    - "performance analysis of intelligent reflecting surface assisted noma networks"
    - "miso wireless communication systems via intelligent reflecting surfaces"
    - "large intelligent surface antennas lisa making reflective radios smart"
    - "reflection probability in wireless networks with metasurface coated environmental objects an approach based on random spatial processes"
    - "capacity characterization for intelligent reflecting surface aided mimo communication"
    - "channel capacity optimization using reconfigurable intelligent surfaces in indoor mmwave environments"

Connected through hyperedge HE-2 (induced by source paper "bayesian receiver design for grant free noma with message passing based structured signal estimation"):
  with members:
    - "joint activity detection and channel estimation for iot networks phase transition and computation estimation tradeoff"
    - "sparse activity detection for massive connectivity"
    - "sparse signal processing for grant free massive connectivity a future paradigm for random access protocols in the internet of things"
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "five disruptive technology directions for 5g"
    - "expectation propagation for approximate bayesian inference"
    - "a generalized mean field algorithm for variational inference in exponential families"

Connected through hyperedge HE-3 (induced by source paper "online estimation and adaptation for random access with successive interference cancellation"):
  with members:
    - "maximum sum rate of slotted aloha with successive interference cancellation"
    - "random access protocols for massive mimo"
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "aloha random access that operates as a rateless code"
    - "graph based random access for the collision channel without feedback capacity bound"

Connected through hyperedge HE-4 (induced by source paper "exploiting noma for uav communications in large scale cellular networks"):
  with members:
    - "downlink non orthogonal multiple access noma in poisson networks"
    - "exploiting noma for multi beam uav communication in cellular uplink"
    - "user association and resource allocation in unified non orthogonal multiple access enabled heterogeneous ultra dense networks"
    - "connectivity and blockage effects in millimeter wave air to everything networks"
    - "uav aided offloading for cellular hotspot"
    - "modeling and analysis of two way relay non orthogonal multiple access systems"
    - "energy minimization for wireless communication with rotary wing uav"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"

Connected through hyperedge HE-5 (induced by source paper "uav enabled iot systems noma or oma"):
  with members:
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "spectral and energy efficient wireless powered iot networks noma or tdma"
    - "energy minimization for wireless communication with rotary wing uav"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "uplink cooperative noma for cellular connected uav"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"

Connected through hyperedge HE-6 (induced by source paper "hybrid resource scheduling for aggregation in massive machine type communication networks"):
  with members:
    - "finite blocklength communications in smart grids for dynamic spectrum access and locally licensed scenarios"
    - "massive multiple access based on superposition raptor codes for cellular m2m communications"
    - "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "maximizing the link throughput between smart meters and aggregators as secondary users under power and outage constraints"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "optimizing data aggregation for uplink machine to machine communication networks"

Connected through hyperedge HE-7 (induced by source paper "efficient scheduling for the massive random access gaussian channel"):
  with members:
    - "a joint graph based coding scheme for the unsourced random access gaussian channel"
    - "a coupled compressive sensing scheme for unsourced multiple access"
    - "massive multiple access based on superposition raptor codes for cellular m2m communications"
    - "gaussian multiple access via compute and forward"
    - "capacity of gaussian many access channels"
    - "sign compute resolve for tree splitting random access"
    - "code design for short blocks a survey"
    - "massive machine type communications in 5g physical and mac layer solutions"

Connected through hyperedge HE-8 (induced by source paper "multi operator network sharing for massive iot"):
  with members:
    - "distributed resource allocation for network slicing over licensed and unlicensed bands"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "computing resource allocation in three tier iot fog networks a joint optimization approach combining stackelberg game and matching"
    - "from network sharing to multi tenancy the 5g network slice broker"

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)