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: "the mean interference to signal ratio and its key role in cellular and amorphous networks"
  Abstract: We introduce a simple yet powerful and versatile analytical framework to approximate the SIR distribution in the downlink of cellular systems. It is based on the mean interference-to-signal ratio and yields the horizontal gap (SIR gain) between the SIR distribution in question and a reference SIR distribution. As applications, we determine the SIR gain for base station silencing, cooperation, and lattice deployment over a baseline architecture that is based on a Poisson deployment of base stations and strongest-base station association. The applications demonstrate that the proposed approach unifies several recent results and provides a convenient framework for the analysis and comparison of future network architectures and transmission schemes, including amorphous networks where a user is served by multiple base stations and, consequently, (hard) cell association becomes obsolete.

Connected through hyperedge HE-1 (induced by source paper "sir analysis via signal fractions"):
  with members:
    - "asymptotics and approximation of the sir distribution in general cellular 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 "massive mimo forward link analysis for cellular networks"):
  with members:
    - "massive mimo has unlimited capacity"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "downlink performance of superimposed pilots in massive mimo systems"
    - "wireless network signals with moderately correlated shadowing still appear poisson"
    - "no downlink pilots are needed in tdd massive mimo"
    - "analyzing uplink sinr and rate in massive mimo systems using stochastic geometry"

Connected through hyperedge HE-4 (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"
    - "asymptotics and approximation of the sir distribution in general 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"

Connected through hyperedge HE-5 (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"
    - "asymptotics and approximation of the sir distribution in general cellular networks"

Connected through hyperedge HE-6 (induced by source paper "energy efficient massive iot shared spectrum access over uav enabled cellular networks"):
  with members:
    - "cellular connected uav uplink association power control and interference coordination"
    - "performance analysis of uplink cellular iot using different deployments of data aggregators"
    - "aeronautical data aggregation and field estimation in iot networks hovering traveling time dilemma of uavs"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "on the energy distortion tradeoff in the iot"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "energy efficient uav communication with trajectory optimization"
    - "energy efficient power control a look at 5g wireless technologies"

Connected through hyperedge HE-7 (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"
    - "asymptotics and approximation of the sir distribution in general 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 performance of successive interference cancellation in random wireless networks"

Connected through hyperedge HE-8 (induced by source paper "a tunable base station cooperation scheme for poisson cellular networks"):
  with members:
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular 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)