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: "optimal hierarchical radio resource management for hetnets with flexible backhaul"
  Abstract: Providing backhaul connectivity for macro and pico base stations (BSs) constitutes a significant share of infrastructure costs in future heterogeneous networks (HetNets). To address this issue, the emerging idea of  flexible backhaul  is proposed. Under this architecture, not all the pico BSs are connected to the backhaul, resulting in a significant reduction in the infrastructure costs. In this regard, pico BSs without backhaul connectivity need to communicate with their nearby BSs in order to have indirect accessibility to the backhaul. This makes the radio resource management (RRM) in such networks more complex and challenging. In this paper, we address the problem of cross-layer RRM in HetNets with flexible backhaul. We formulate this problem as a two-timescale non-convex stochastic optimization, which jointly optimizes flow control, routing, interference mitigation, and link scheduling in order to maximize a generic network utility. By exploiting a  hidden convexity  of this non-convex problem, we propose an iterative algorithm which converges to the global optimal solution. The proposed algorithm benefits from low complexity and low signaling, which makes it scalable. Moreover, due to the proposed two-timescale design, it is robust to the backhaul signaling latency as well. Simulation results demonstrate the significant performance gain of the proposed solution over various baselines.

Connected through hyperedge HE-1 (induced by source paper "efficient fair and qos aware policies for wirelessly powered communication networks"):
  with members:
    - "online policies for throughput maximization of energy constrained wireless powered communication systems"
    - "optimal and near optimal policies for wireless power transfer in energy limited and power limited scenarios"
    - "distributed wireless power transfer with energy feedback"
    - "theory and experiment for wireless powered sensor networks how to keep sensors alive"
    - "battery powered devices in wpcns"
    - "capacity of remotely powered communication"
    - "wireless powered communication opportunities and challenges"
    - "wireless power transfer survey and roadmap"

Connected through hyperedge HE-2 (induced by source paper "parallel stochastic optimization framework for large scale non convex stochastic problems"):
  with members:
    - "an energy efficient controller for wirelessly powered communication networks"
    - "efficient fair and qos aware policies for wirelessly powered communication networks"
    - "accelerating minibatch stochastic gradient descent using typicality sampling"
    - "learning overparameterized neural networks via stochastic gradient descent on structured data"
    - "on breast cancer detection an application of machine learning algorithms on the wisconsin diagnostic dataset"
    - "energy entropy competition and the effectiveness of stochastic gradient descent in machine learning"
    - "adam a method for stochastic optimization"
    - "flexible parallel algorithms for big data optimization"

Connected through hyperedge HE-3 (induced by source paper "joint load balancing and interference mitigation in 5g heterogeneous networks"):
  with members:
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "user association in 5g networks a survey and an outlook"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "large system analysis of cognitive radio network via partially projected regularized zero forcing precoding"
    - "cooperative interference mitigation algorithm in heterogeneous networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "optimal user cell association for massive mimo 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)