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: "analysis of joint transmit receive diversity in downlink mimo heterogeneous cellular networks"
  Abstract: We study multiple-input multiple-output (MIMO) based downlink heterogeneous cellular network (HetNets) with joint transmit-receive diversity using orthogonal space-time block codes at the base stations (BSs) and maximal-ratio combining (MRC) at the users. MIMO diversity with MRC is especially appealing in cellular networks due to the relatively low hardware complexity at both the BS and user device. Using stochastic geometry, we develop a tractable stochastic model for analyzing such HetNets taking into account the irregular and multi-tier BS deployment. We derive the coverage probability for both interference-blind (IB) and interference-aware (IA) MRC as a function of the relevant tier-specific system parameters such as BS density and power, path loss law, and number of transmit (Tx) antennas. Important insights arising from our analysis for typical HetNets are for instance: (i) IA-MRC becomes less favorable than IB-MRC with Tx diversity due to the smaller interference variance and increased interference correlation across Rx antennas; (ii) ignoring spatial interference correlation significantly overestimates the performance of IA-MRC; (iii) for small number of Rx antennas, selection combining may offer a better complexity-performance trade-off than MRC.

Connected through hyperedge HE-1 (induced by source paper "ergodic spectral efficiency in mimo cellular networks"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "scaling laws for ergodic spectral efficiency in mimo poisson networks"
    - "wireless network signals with moderately correlated shadowing still appear poisson"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "analytical tractability of hexagonal network model with random user location"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "an analytical framework for device to device communication in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "area spectral efficiency analysis of multi antenna two tier cellular networks"):
  with members:
    - "area spectral efficiency analysis and energy consumption minimization in multiantenna poisson distributed networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "performance analysis of massive mimo for cell boundary users"
    - "success probability and area spectral efficiency in multiuser mimo hetnets"
    - "what will 5g be"
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"

Connected through hyperedge HE-3 (induced by source paper "fundamentals of modeling finite wireless networks using binomial point process"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "performance analysis of arbitrarily shaped underlay cognitive networks effects of secondary user activity protocols"
    - "optimal geographic caching in cellular networks"
    - "analyzing the impact of access point density on the performance of finite area networks"
    - "analysis of millimeter wave networked wearables in crowded environments"

Connected through hyperedge HE-4 (induced by source paper "a stochastic analysis of network mimo systems"):
  with members:
    - "large scale mimo versus network mimo for multicell interference mitigation"
    - "adaptive multicell 3d beamforming in multi antenna cellular networks"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "optimizing multi cell massive mimo for spectral efficiency how many users should be scheduled"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "downlink multi antenna heterogeneous cellular network with load balancing"
    - "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"

Connected through hyperedge HE-5 (induced by source paper "unified stochastic geometry model for mimo cellular networks with retransmissions"):
  with members:
    - "spectral efficiency of dynamic coordinated beamforming a stochastic geometry approach"
    - "a tractable model for noncoherent joint transmission base station cooperation"
    - "massive mimo meets hetnet interference coordination through spatial blanking"
    - "location aware cross tier coordinated multipoint transmission in two tier cellular networks"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "asymptotic spectral efficiency of the uplink in spatially distributed wireless networks with multi antenna base stations"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "downlink multi antenna heterogeneous cellular network with load balancing"

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)