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: "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
  Abstract: Using stochastic geometry, we develop a tractable uplink modeling paradigm for outage probability and spectral efficiency in both single and multi-tier cellular wireless networks. The analysis accounts for per user equipment (UE) power control as well as the maximum power limitations for UEs. More specifically, for interference mitigation and robust uplink communication, each UE is required to control its transmit power such that the average received signal power at its serving base station (BS) is equal to a certain threshold $\rho_o$. Due to the limited transmit power, the UEs employ a truncated channel inversion power control policy with a cutoff threshold of $\rho_o$. We show that there exists a transfer point in the uplink system performance that depends on the tuple: BS intensity ($\lambda$), maximum transmit power of UEs ($P_u$), and $\rho_o$. That is, when $P_u$ is a tight operational constraint with respect to [w.r.t.] $\lambda$ and $\rho_o$, the uplink outage probability and spectral efficiency highly depend on the values of $\lambda$ and $\rho_o$. In this case, there exists an optimal cutoff threshold $\rho^*_o$, which depends on the system parameters, that minimizes the outage probability. On the other hand, when $P_u$ is not a binding operational constraint w.r.t. $\lambda$ and $\rho_o$, the uplink outage probability and spectral efficiency become independent of $\lambda$ and $\rho_o$. We obtain approximate yet accurate simple expressions for outage probability and spectral efficiency which reduce to closed-forms in some special cases.

Connected through hyperedge HE-1 (induced by source paper "a spatiotemporal framework for information freshness in iot uplink networks"):
  with members:
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "the age of information real time status updating by multiple sources"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"

Connected through hyperedge HE-2 (induced by source paper "ran slicing for massive iot and bursty urllc service multiplexing analysis and optimization"):
  with members:
    - "how should i orchestrate resources of my slices for bursty urllc service provision"
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "5g wireless network slicing for embb urllc and mmtc a communication theoretic view"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "random access analysis for massive iot networks under a new spatio temporal model a stochastic geometry approach"
    - "stochastic coalitional games for cooperative random access in m2m communications"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "downlink capacity and base station density in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan"):
  with members:
    - "how agile is the adaptive data rate mechanism of lorawan"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "fair adaptive data rate allocation and power control in lorawan"
    - "low power wide area network analysis can lora scale"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"

Connected through hyperedge HE-4 (induced by source paper "scheduling policies for federated learning in wireless networks"):
  with members:
    - "in edge ai intelligentizing mobile edge computing caching and communication by federated learning"
    - "client selection for federated learning with heterogeneous resources in mobile edge"
    - "coded federated computing in wireless networks with straggling devices and imperfect csi"
    - "wireless network intelligence at the edge"
    - "federated learning strategies for improving communication efficiency"
    - "broadband analog aggregation for low latency federated edge learning extended version"
    - "federated learning via over the air computation"
    - "adaptive federated learning in resource constrained edge computing systems"

Connected through hyperedge HE-5 (induced by source paper "a spatiotemporal model for peak aoi in uplink iot networks time vs event triggered traffic"):
  with members:
    - "a spatiotemporal framework for information freshness in iot uplink networks"
    - "optimizing information freshness in computing enabled iot networks"
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "can determinacy minimize age of information"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"

Connected through hyperedge HE-6 (induced by source paper "resilient design of 5g mobile edge computing over intermittent mmwave links"):
  with members:
    - "millimeter wave los coverage enhancements with coordinated high rise access points"
    - "modeling and analyzing millimeter wave cellular systems"
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "modeling and analysis of hetnets with mm wave multi rat small cells deployed along roads"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "what will 5g be"

Connected through hyperedge HE-7 (induced by source paper "uplink noma for cellular connected uav impact of uav trajectories and altitude"):
  with members:
    - "3gpp inspired stochastic geometry based mobility model for a drone cellular network"
    - "exploiting noma for multi beam uav communication in cellular uplink"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "accuracy of distance based ranking of users in the analysis of noma systems"
    - "underlay drone cell for temporary events impact of drone height and aerial channel environments"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "uplink cooperative noma for cellular connected uav"

Connected through hyperedge HE-8 (induced by source paper "non coherent joint transmission in poisson cellular networks under pilot contamination"):
  with members:
    - "stochastic geometry based uplink analysis of massive mimo systems with fractional pilot reuse"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "channel hardening and favorable propagation in cell free massive mimo with stochastic geometry"
    - "cell free massive mimo versus small cells"
    - "deploying dense networks for maximal energy efficiency small cells meet massive mimo"
    - "analyzing uplink sinr and rate in massive mimo systems using stochastic geometry"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "a tractable approach to coverage and rate in cellular 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)