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: "capacity analysis of lte advanced hetnets with reduced power subframes and range expansion"
  Abstract: The time domain inter-cell interference coordination techniques specified in LTE Rel. 10 standard improves the throughput of picocell-edge users by protecting them from macrocell interference. On the other hand, it also degrades the aggregate capacity in macrocell because the macro base station (MBS) does not transmit data during certain subframes known as almost blank subframes. The MBS data transmission using reduced power subframes was standardized in LTE Rel. 11, which can improve the capacity in macrocell while not causing high interference to the nearby picocells. In order to get maximum benefit from the reduced power subframes, setting the key system parameters, such as the amount of power reduction, carries critical importance. Using stochastic geometry, this paper lays down a theoretical foundation for the performance evaluation of heterogeneous networks with reduced power subframes and range expansion bias. The analytic expressions for average capacity and 5th percentile throughput are derived as a function of transmit powers, node densities, and interference coordination parameters in a heterogeneous network scenario, and are validated through Monte Carlo simulations. Joint optimization of range expansion bias, power reduction factor, scheduling thresholds, and duty cycle of reduced power subframes are performed to study the trade-offs between aggregate capacity of a cell and fairness among the users. To validate our analysis, we also compare the stochastic geometry based theoretical results with the real MBS deployment (in the city of London) and the hexagonal-grid model. Our analysis shows that with optimum parameter settings, the LTE Rel. 11 with reduced power subframes can provide substantially better performance than the LTE Rel. 10 with almost blank subframes, in terms of both aggregate capacity and fairness.

Connected through hyperedge HE-1 (induced by source paper "heuristic approach for jointly optimizing feicic and uav locations in multi tier lte advanced public safety hetnet"):
  with members:
    - "predictive deployment of uav base stations in wireless networks machine learning meets contract theory"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "interference coordination for aerial and terrestrial nodes in three tier lte advanced hetnet"
    - "a survey on legacy and emerging technologies for public safety communications"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "a stochastic geometry model of backhaul and user coverage in urban uav networks"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "uav assisted heterogeneous networks for capacity enhancement"

Connected through hyperedge HE-2 (induced by source paper "non orthogonal multiple access for mmwave drone networks with limited feedback"):
  with members:
    - "non orthogonal multiple access for mobile vlc networks with random receiver orientation"
    - "exploiting lte advanced hetnets and feicic for uav assisted public safety communications"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "uav assisted heterogeneous networks for capacity enhancement"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "mobile edge computing via a uav mounted cloudlet optimization of bit allocation and path planning"
    - "the application of mimo to non orthogonal multiple access"

Connected through hyperedge HE-3 (induced by source paper "exploiting lte advanced hetnets and feicic for uav assisted public safety communications"):
  with members:
    - "game based approach for qos provisioning and interference management in heterogeneous networks"
    - "a survey on legacy and emerging technologies for public safety communications"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "uav assisted heterogeneous networks for capacity enhancement"
    - "drone small cells in the clouds design deployment and performance analysis"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"

Connected through hyperedge HE-4 (induced by source paper "uav assisted public safety communications with lte advanced hetnets and feicic"):
  with members:
    - "a survey on legacy and emerging technologies for public safety communications"

Connected through hyperedge HE-5 (induced by source paper "analytical derivation of downlink data rate distribution for 5g hetnets with cell edge located small cells"):
  with members:
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "what will 5g be"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "five disruptive technology directions for 5g"
    - "on off macrocells and load balancing in heterogeneous cellular networks"
    - "modeling heterogeneous network interference using poisson point processes"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-6 (induced by source paper "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"):
  with members:
    - "performance impact of los and nlos transmissions in small cell networks"
    - "study on scheduling techniques for ultra dense small cell networks"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "massive mimo for next generation wireless systems"
    - "will the area spectral efficiency monotonically grow as small cells go dense"
    - "on the impact of hardware impairments on massive mimo"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "effects of channel aging in massive mimo systems"

Connected through hyperedge HE-7 (induced by source paper "learning based frequency and time domain inter cell interference coordination in hetnets"):
  with members:
    - "modeling analysis and design for carrier aggregation in heterogeneous cellular networks"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-8 (induced by source paper "handover count based velocity estimation and mobility state detection in dense hetnets"):
  with members:
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "towards understanding the fundamentals of mobility in cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "mean interference in hard core wireless 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)