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: "asymptotics and approximation of the sir distribution in general cellular networks"
  Abstract: It has recently been observed that the SIR distributions of a variety of cellular network models and transmission techniques look very similar in shape. As a result, they are well approximated by a simple horizontal shift (or gain) of the distribution of the most tractable model, the Poisson point process (PPP). To study and explain this behavior, this paper focuses on general single-tier network models with nearest-base station association and studies the asymptotic gain both at 0 and at infinity. #R##N#We show that the gain at 0 is determined by the so-called mean interference-to-signal ratio (MISR) between the PPP and the network model under consideration, while the gain at infinity is determined by the expected fading-to-interference ratio (EFIR). #R##N#The analysis of the MISR is based on a novel type of point process, the so-called relative distance process, which is a one-dimensional point process on the unit interval [0,1] that fully determines the SIR. A comparison of the gains at 0 and infinity shows that the gain at 0 indeed provides an excellent approximation for the entire SIR distribution. Moreover, the gain is mostly a function of the network geometry and barely depends on the path loss exponent and the fading. The results are illustrated using several examples of repulsive point processes.

Connected through hyperedge HE-1 (induced by source paper "sir analysis via signal fractions"):
  with members:
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"

Connected through hyperedge HE-2 (induced by source paper "smart radio environments empowered by ai reconfigurable meta surfaces an idea whose time has come"):
  with members:
    - "a novel communication paradigm for high capacity and security via programmable indoor wireless environments in next generation wireless systems"
    - "reflection probability in wireless networks with metasurface coated environmental objects an approach based on random spatial processes"
    - "a tractable analysis of the blind spot probability in localization networks under correlated blocking"
    - "using any surface to realize a new paradigm for wireless communications"
    - "wireless network intelligence at the edge"
    - "medium access control in wireless network on chip a context analysis"
    - "beyond massive mimo the potential of positioning with large intelligent surfaces"
    - "realizing wireless communication through software defined hypersurface environments"

Connected through hyperedge HE-3 (induced by source paper "simple approximations of the sir meta distribution in general cellular networks"):
  with members:
    - "sir meta distribution of k tier downlink heterogeneous cellular networks with cell range expansion"
    - "efficient calculation of meta distributions and the performance of user percentiles"
    - "equi coverage contours in cellular networks"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "the meta distribution of the sir for cellular networks with power control"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"

Connected through hyperedge HE-4 (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"
    - "massive non orthogonal multiple access for cellular iot potentials and limitations"
    - "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"
    - "optimizing data aggregation for uplink machine to machine communication networks"

Connected through hyperedge HE-5 (induced by source paper "a unified framework for the tractable analysis of multi antenna wireless networks"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "a tractable framework for performance analysis of dense multi antenna networks"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "success probability and area spectral efficiency in multiuser mimo hetnets"
    - "downlink cellular network analysis with multi slope path loss models"
    - "user centric intercell interference nulling for downlink small cell networks"
    - "analysis and optimization of inter tier interference coordination in downlink multi antenna hetnets with offloading"

Connected through hyperedge HE-6 (induced by source paper "sir meta distribution of k tier downlink heterogeneous cellular networks with cell range expansion"):
  with members:
    - "efficient calculation of meta distributions and the performance of user percentiles"
    - "the spatial outage capacity of wireless networks"
    - "the meta distribution of the sir for cellular networks with power control"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"
    - "the performance of successive interference cancellation in random wireless networks"

Connected through hyperedge HE-7 (induced by source paper "on minimizing energy consumption for d2d clustered caching networks"):
  with members:
    - "inter cluster cooperation for wireless d2d caching networks"
    - "optimal caching and scheduling for cache enabled d2d communications"
    - "delay analysis for wireless d2d caching with inter cluster cooperation"
    - "spatially correlated content caching for device to device communications"
    - "energy efficiency of downlink networks with caching at base stations"
    - "modeling and performance analysis of clustered device to device networks"
    - "optimal geographic caching in cellular networks"
    - "base station assisted device to device communications for high throughput wireless video networks"

Connected through hyperedge HE-8 (induced by source paper "a tunable base station cooperation scheme for poisson cellular networks"):
  with members:
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"

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)