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: "scheduling and power allocation in self backhauled full duplex small cells"
  Abstract: Full duplex (FD) communications, which increases spectral efficiency through simultaneous transmission and reception on the same frequency band, is a promising technology to meet the demand of next generation wireless networks. In this paper, we consider the application of such FD communication to self-backhauled small cells. We consider a FD capable small cell base station (BS) being wirelessly backhauled by a FD capable macro-cell BS. FD communication enables simultaneous backhaul and access transmissions at small cell BSs, which reduces the need to orthogonalize allocated spectrum between access and backhaul. However, in such simultaneous operations, all the links experience higher interference, which significantly suppresses the gains of FD operations. We propose an interference-aware scheduling method to maximize the FD gain across multiple UEs in both uplink and downlink directions, while maintaining a level of fairness between all UEs. It jointly schedules the appropriate links and traffic based on the back-pressure algorithm, and allocates appropriate transmission powers to the scheduled links using Geometric Programming. Our simulation results show that the proposed scheduler nearly doubles the throughput of small cells compared to traditional half-duplex self-backhauling.

Connected through hyperedge HE-1 (induced by source paper "integrated access and backhaul optimization for millimeter wave heterogeneous networks"):
  with members:
    - "optimal joint routing and scheduling in millimeter wave cellular networks"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "joint downlink cell association and bandwidth allocation for wireless backhauling in two tier hetnets with large scale antenna arrays"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "small cell in band wireless backhaul in massive mimo systems a cooperation of next generation techniques"
    - "5g wireless backhaul networks challenges and research advances"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-2 (induced by source paper "capacity analysis for full duplex self backhauled small cells"):
  with members:
    - "exploiting full half duplex user relaying in noma systems"
    - "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"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "what will 5g be"

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)