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: "downlink interference estimation without feedback for heterogeneous network interference avoidance"
  Abstract: In this paper, we present a novel method for a base station (BS) to estimate the total downlink interference power received by any given mobile receiver, without information feedback from the user or information exchange between neighbouring BSs. The prediction method is deterministic and can be computed rapidly. This is achieved by first abstracting the cellular network into a mathematical model, and then inferring the interference power received at any location based on the power spectrum measurements taken at the observing BS. The analysis expands the methodology to a K-tier heterogeneous network and demonstrates the accuracy of the technique for a variety of sampling densities. The paper demonstrates the methodology by applying it to an opportunistic transmission technique that avoids transmissions to channels which are overwhelmed by interference. The simulation results show that the proposed technique performs closely or better than existing interference avoidance techniques that require information exchange, and yields a 30% throughput improvement over baseline configurations.

Connected through hyperedge HE-1 (induced by source paper "coexistence of wi fi and heterogeneous small cell networks sharing unlicensed spectrum"):
  with members:
    - "millimeter wave beamforming for wireless backhaul and access in small cell 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.NI(Networking and Internet Architecture)