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: "joint load balancing and interference mitigation in 5g heterogeneous networks"
  Abstract: We study the problem of joint load balancing and interference mitigation in heterogeneous networks in which massive multiple-input multiple-output macro cell base station (BS) equipped with a large number of antennas, overlaid with wireless self-backhauled small cells (SCs), is assumed. Self-backhauled SC BSs with full-duplex communication employing regular antenna arrays serve both macro users and SC users by using the wireless backhaul from macro BS in the same frequency band. We formulate the joint load balancing and interference mitigation problem as a network utility maximization subject to wireless backhaul constraints. Subsequently, leveraging the framework of stochastic optimization, the problem is decoupled into dynamic scheduling of macro cell users, backhaul provisioning of SCs, and offloading macro cell users to SCs as a function of interference and backhaul links. Via numerical results, we show the performance gains of our proposed framework under the impact of SCs density, number of BS antennas, and transmit power levels at low and high frequency bands. It is shown that our proposed approach achieves a 5.6 times gain in terms of cell-edge performance as compared with the closed-access baseline in ultra-dense networks with 350 SC BSs per    ${{\text{km}}}^{2}$   .

Connected through hyperedge HE-1 (induced by source paper "joint path selection and rate allocation framework for 5g self backhauled mm wave networks"):
  with members:
    - "path selection and rate allocation in self backhauled mmwave networks"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "energy efficient interactive beam alignment for millimeter wave networks"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "toward low latency and ultra reliable virtual reality"
    - "millimeter wave v2v communications distributed association and beam alignment"
    - "capacity scaling of cellular networks impact of bandwidth infrastructure density and number of antennas"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"

Connected through hyperedge HE-2 (induced by source paper "ultra reliable and low latency wireless communication tail risk and scale"):
  with members:
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "federated learning for ultra reliable low latency v2v communications"
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"
    - "network slicing for ultra reliable low latency communication in industry 4 0 scenarios"
    - "proactive edge computing in latency constrained fog networks"
    - "fine grained reliability for v2v communications around suburban and urban intersections"
    - "introduction to ultra reliable and low latency communications in 5g"

Connected through hyperedge HE-3 (induced by source paper "path selection and rate allocation in self backhauled mmwave networks"):
  with members:
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "on the joint impact of beamwidth and orientation error on throughput in directional wireless poisson networks"
    - "what will 5g be"
    - "millimeter wave beamforming for wireless backhaul and access in small cell networks"
    - "backhaul aware interference management in the uplink of wireless small cell networks"
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"

Connected through hyperedge HE-4 (induced by source paper "ultra reliable communication in 5g mmwave networks a risk sensitive approach"):
  with members:
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "tracking mm wave channel dynamics fast beam training strategies under mobility"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "secure massive mimo transmission with an active eavesdropper"
    - "what will 5g be"

Connected through hyperedge HE-5 (induced by source paper "probabilistic stability of traffic load balancing on wireless complex networks"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "self optimizing load balancing with backhaul constrained radio access networks"
    - "contractive interference functions and rates of convergence of distributed power control laws"
    - "bounds on stability and latency in wireless communication"

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.NI(Networking and Internet Architecture)