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: "integrated mmwave access and backhaul in 5g bandwidth partitioning and downlink analysis"
  Abstract: With the increasing network densification, it has become exceedingly difficult to provide traditional fiber backhaul access to each cell site, which is especially true for small cell base stations (SBSs). The increasing maturity of millimeter wave (mmWave) communication has opened up the possibility of providing high-speed wireless backhaul to such cell sites. Since mmWave is also suitable for access links, the third generation partnership project (3GPP) is envisioning an integrated access and backhaul (IAB) architecture for the fifth generation (5G) cellular networks in which the same infrastructure and spectral resources will be used for both access and backhaul. In this paper, we develop an analytical framework for IAB-enabled cellular network using which we provide an accurate characterization of its downlink rate coverage probability. Using this, we study the performance of two backhaul bandwidth (BW) partition strategies, (i) equal partition: when all SBSs obtain equal share of the backhaul BW, and (ii) load-based partition: when the backhaul BW share of an SBS is proportional to its load. Our analysis shows that depending on the choice of the partition strategy, there exists an optimal split of access and backhaul BW for which the rate coverage is maximized. Further, there exists a critical volume of cell-load (total number of users) beyond which the gains provided by the IAB-enabled network disappear and its performance converges to that of the traditional macro-only network with no SBSs.

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"
    - "capacity scaling of cellular networks impact of bandwidth infrastructure density and number of antennas"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-2 (induced by source paper "millemeter wave fixed wireless access using ieee 802 11ay"):
  with members:
    - "ieee 802 11ay based mmwave wlans design challenges and solutions"

Connected through hyperedge HE-3 (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"
    - "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"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "coverage in heterogeneous downlink millimeter wave cellular networks"

Connected through hyperedge HE-4 (induced by source paper "end to end simulation of integrated access and backhaul at mmwaves"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "study of realistic antenna patterns in 5g mmwave cellular scenarios"
    - "end to end simulation of 5g mmwave networks"
    - "max min rates in self backhauled millimeter wave cellular networks"
    - "distributed path selection strategies for integrated access and backhaul at mmwaves"
    - "initial access frameworks for 3gpp nr at mmwave frequencies"
    - "frame structure design and analysis for millimeter wave cellular systems"
    - "5g wireless backhaul networks challenges and research advances"

Connected through hyperedge HE-5 (induced by source paper "distributed path selection strategies for integrated access and backhaul at mmwaves"):
  with members:
    - "initial access frameworks for 3gpp nr at mmwave frequencies"
    - "optimal joint routing and scheduling in millimeter wave cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"
    - "5g wireless backhaul networks challenges and research advances"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave channel modeling and cellular capacity evaluation"

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)