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 massive mimo enabled downlink wireless backhauling for full duplex small cells"
  Abstract: Recent advancements in self-interference (SI) cancellation capability of low-power wireless devices motivate in-band full-duplex (FD) wireless backhauling in small cell networks (SCNs). In-band FD wireless backhauling concurrently allows the use of the same frequency spectrum for the backhaul as well as access links of the small cells. In this paper, using tools from stochastic geometry, we develop a framework to model the downlink rate coverage probability of a user in a given SCN with massive multiple-input–multiple-output (MIMO)-enabled wireless backhauls. The considered SCN is composed of a mixture of small cells that are configured in either in-band or out-of-band backhaul modes with a certain probability. The performance of the user in the considered hierarchical network is limited by several sources of interference, such as the backhaul interference, small cell base station (SBS)-to-SBS interference, and the SI. Moreover, due to the channel hardening effect in massive MIMO, the backhaul links only experience long term channel effects, whereas the access links experience both the long term and the short term channel effects. Consequently, the developed framework is flexible to characterize different sources of interference while capturing the heterogeneity of the access and backhaul channels. In specific scenarios, the framework enables deriving closed-form coverage probability expressions. Under perfect backhaul coverage, the simplified expressions are utilized to optimize the proportion of in-band and out-of-band small cells in the SCN in the closed form. Finally, a few remedial solutions are proposed that can potentially mitigate the backhaul interference and in turn improve the performance of in-band FD wireless backhauling. Numerical results investigate the scenarios in which in-band wireless backhauling is useful and demonstrate that maintaining a correct proportion of in-band and out-of-band FD small cells is crucial in wireless backhauled SCNs.

Connected through hyperedge HE-1 (induced by source paper "millimeter wave integrated access and backhaul in 5g performance analysis and design insights"):
  with members:
    - "integrated access and backhaul in 5g mmwave networks potentials and challenges"
    - "a tractable analysis of the blind spot probability in localization networks under correlated blocking"
    - "end to end simulation of integrated access and backhaul at mmwaves"
    - "max min rates in self backhauled millimeter wave cellular networks"
    - "distributed path selection strategies for integrated access and backhaul at mmwaves"
    - "modeling and analyzing millimeter wave cellular systems"
    - "integrated mmwave access and backhaul in 5g bandwidth partitioning and downlink analysis"
    - "capacity scaling of cellular networks impact of bandwidth infrastructure density and number of antennas"

Connected through hyperedge HE-2 (induced by source paper "sum rate maximization of multicell miso networks with limited information exchange"):
  with members:
    - "a deep learning framework for optimization of miso downlink beamforming"
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "coordinated regularized zero forcing precoding for multicell miso systems with limited feedback"
    - "joint transmission with limited backhaul connectivity"
    - "sinr and throughput scaling in ultradense urban cellular networks"
    - "on the spatial degrees of freedom of multicell and multiuser mimo channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "downlink interference alignment"

Connected through hyperedge HE-3 (induced by source paper "joint sparse beamforming and power control for large scale das with network assistant full duplex"):
  with members:
    - "performance of network assisted full duplex for cell free massive mimo"
    - "fractional programming for communication systems part ii uplink scheduling via matching"
    - "cross layer design for downlink multihop cloud radio access networks with network coding"
    - "energy efficiency of downlink transmission strategies for cloud radio access networks"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "compflex comp for in band wireless full duplex"
    - "on the spectral efficiency of full duplex small cell wireless systems"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"

Connected through hyperedge HE-4 (induced by source paper "5g massive mimo architectures self backhauled small cells versus direct access"):
  with members:
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "performance of massive mimo self backhauling for ultra dense small cell deployments"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"
    - "uplink sounding reference signal coordination to combat pilot contamination in 5g massive mimo"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "performance analysis of massive mimo for cell boundary users"

Connected through hyperedge HE-5 (induced by source paper "bandwidth partitioning and downlink analysis in mmwave integrated access and backhaul for 5g"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "integrated mmwave access and backhaul in 5g bandwidth partitioning and downlink analysis"
    - "directional cell search delay analysis for cellular networks with static users"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "coverage in heterogeneous downlink millimeter wave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "mobility aware analysis of 5g and b5g cellular networks a tutorial"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "coverage and rate analysis for co existing rf vlc downlink cellular networks"
    - "handover management in 5g and beyond a topology aware skipping approach"
    - "handoff rate and coverage analysis in multi tier heterogeneous networks"
    - "on feasibility of 5g grade dedicated rf charging technology for wireless powered wearables"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "towards understanding the fundamentals of mobility in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "capacity analysis for full duplex self backhauled small cells"):
  with members:
    - "exploiting full half duplex user relaying in noma systems"
    - "scheduling and power allocation in self backhauled full duplex small cells"
    - "full duplex multi antenna relay assisted cooperative non orthogonal multiple access"
    - "joint beamforming design and power allocation for full duplex noma cognitive relay systems"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "sum rate analysis and optimization of self backhauling based full duplex radio access system"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "what will 5g be"

Connected through hyperedge HE-8 (induced by source paper "performance of massive mimo self backhauling for ultra dense small cell deployments"):
  with members:
    - "uplink sounding reference signal coordination to combat pilot contamination in 5g massive mimo"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "energy efficient design of mimo heterogeneous networks with wireless backhaul"
    - "small cell in band wireless backhaul in massive mimo systems a cooperation of next generation techniques"
    - "scaling up mimo opportunities and challenges with very large arrays"

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)