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: "successive interference cancellation in heterogeneous cellular networks"
  Abstract: At present, operators address the explosive growth of mobile data demand by densification of the cellular network so as to reduce the transmitter-receiver distance and to achieve higher spectral efficiency. Due to such network densification and the intense proliferation of wireless devices, modern wireless networks are interference-limited, which motivates the use of interference mitigation and coordination techniques. In this work, we develop a statistical framework to evaluate the performance of multi-tier heterogeneous networks with successive interference cancellation (SIC) capabilities, accounting for the computational complexity of the cancellation scheme and relevant network related parameters such as random location of the access points (APs) and mobile users, and the characteristics of the wireless propagation channel. We explicitly model the consecutive events of canceling interferers and we derive the success probability to cancel the n-th strongest signal and to decode the signal of interest after n cancellations. When users are connected to the AP which provides the maximum average received signal power, the analysis indicates that the performance gains of SIC diminish quickly with n and the benefits are modest for realistic values of the signal-to-interference ratio (SIR). We extend the statistical model to include several association policies where distinct gains of SIC are expected: (i) minimum load association, (ii) maxi- mum instantaneous SIR association, and (iii) range expansion. Numerical results show the effectiveness of SIC for the considered association policies. This work deepens the understanding of SIC by defining the achievable gains for different association policies in multi-tier heterogeneous networks.

Connected through hyperedge HE-1 (induced by source paper "cooperative caching and transmission design in cluster centric small cell networks"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "energy efficiency of downlink networks with caching at base stations"
    - "optimal geographic caching in cellular networks"
    - "backhaul aware caching placement for wireless networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "content aware user clustering and caching in wireless small cell networks"
    - "optimal throughput outage trade off in wireless one hop caching networks"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

Connected through hyperedge HE-2 (induced by source paper "learning based coexistence in two tier heterogeneous networks with cognitive small cells"):
  with members:
    - "user association in 5g networks a survey and an outlook"
    - "efficient scheduling and power allocation for d2d assisted wireless caching networks"
    - "what will 5g be"
    - "a tractable approach to coverage and rate in cellular networks"
    - "on active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback"

Connected through hyperedge HE-3 (induced by source paper "d2d enhanced heterogeneous cellular networks with dynamic tdd"):
  with members:
    - "spectrum sharing for device to device communication in cellular networks"
    - "dynamic uplink downlink optimization in tdd based small cell networks"
    - "resource optimization in device to device cellular systems using time frequency hopping"
    - "efficiency resource allocation for device to device underlay communication systems a reverse iterative combinatorial auction based approach"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "analytical modeling of uplink cellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "wireless networks appear poissonian due to strong shadowing"):
  with members:
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "studying the sinr process of the typical user in poisson networks by using its factorial moment measures"
    - "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes"
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "analysis of non coherent joint transmission cooperation in heterogeneous cellular networks"
    - "sinr based k coverage probability in cellular networks with arbitrary shadowing"
    - "equivalence and comparison of heterogeneous cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-5 (induced by source paper "studying the sinr process of the typical user in poisson networks by using its factorial moment measures"):
  with members:
    - "a stochastic geometry framework for analyzing pairwise cooperative cellular networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "wireless networks appear poissonian due to strong shadowing"
    - "sinr based k coverage probability in cellular networks with arbitrary shadowing"
    - "equivalence and comparison of heterogeneous cellular networks"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "downlink coverage analysis in a heterogeneous cellular network"

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)