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: "refim a practical interference management in heterogeneous wireless access networks"
  Abstract: Due to the increasing demand of capacity in wireless cellular networks, the small cells such as pico and femto cells are becoming more popular to enjoy a spatial reuse gain, and thus cells with different sizes are expected to coexist in a complex manner. In such a heterogeneous environment, the role of interference management (IM) becomes of more importance, but technical challenges also increase, since the number of cell-edge users, suffering from severe interference from the neighboring cells, will naturally grow. In order to overcome low performance and/or high complexity of existing static and other dynamic IM algorithms, we propose a novel low-complex and fully distributed IM scheme, called REFIM, in the downlink of heterogeneous multi-cell networks. We first formulate a general optimization problem that turns out to require intractable computation complexity for global optimality. To have a practical solution with low computational and signaling overhead, which is crucial for low-cost small-cell solutions, e.g., femto cells, in REFIM, we decompose it into per-BS problems based on the notion of reference user and reduce feedback overhead over backhauls both temporally and spatially. We evaluate REFIM through extensive simulations under various configurations, including the scenarios from a real deployment of BSs. We show that, compared to the schemes without IM, REFIM can yield more than 40% throughput improvement of cell-edge users while increasing the overall performance by 10~107%. This is equal to about 95% performance of the existing centralized IM algorithm that is known to be near-optimal but hard to implement in practice due to prohibitive complexity. We also present that as long as interference is managed well, the spectrum sharing policy can outperform the best spectrum splitting policy where the number of subchannels is optimally divided between macro and femto cells.

Connected through hyperedge HE-1 (induced by source paper "power efficient sampling time and resource allocation in cyber physical systems with industrial application"):
  with members:
    - "delay optimal buffer aware scheduling with adaptive transmission"
    - "the emerging internet of things marketplace from an industrial perspective a survey"

Connected through hyperedge HE-2 (induced by source paper "robust physical layer security for power domain non orthogonal multiple access based hetnets and hudns sic avoidance at eavesdroppers"):
  with members:
    - "user association and resource allocation in unified non orthogonal multiple access enabled heterogeneous ultra dense networks"
    - "massive connectivity with massive mimo part i device activity detection and channel estimation"
    - "joint power allocation and beamforming for non orthogonal multiple access noma in 5g millimeter wave communications"
    - "secrecy sum rate maximization in non orthogonal multiple access"
    - "on the spectral efficiency and security enhancements of noma assisted multicast unicast streaming"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "fairness for non orthogonal multiple access in 5g systems"

Connected through hyperedge HE-3 (induced by source paper "energy efficient user association and power allocation in millimeter wave based ultra dense networks with energy harvesting base stations"):
  with members:
    - "backhaul aware user association and resource allocation for energy constrained hetnets"
    - "distributed association and relaying with fairness in millimeter wave networks"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "user association and interference management in massive mimo hetnets"
    - "efficient scheduling and power allocation for d2d assisted wireless caching networks"
    - "mmwave massive mimo based wireless backhaul for the 5g ultra dense network"
    - "matching theory for backhaul management in small cell networks with mmwave capabilities"
    - "downlink performance of cellular systems with base station sleeping user association and scheduling"

Connected through hyperedge HE-4 (induced by source paper "distributed resource allocation in 5g cellular networks"):
  with members:
    - "distributed resource allocation for relay aided device to device communication a message passing approach"
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "a mean field game approach to scheduling in cellular systems"
    - "resource allocation for network integrated device to device communications using smart relays"

Connected through hyperedge HE-5 (induced by source paper "a multi traffic inter cell interference coordination scheme in dense cellular networks"):
  with members:
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "millimeter wave evolution for 5g cellular networks"
    - "on number of almost blank subframes in heterogeneous cellular networks"
    - "joint resource partitioning and offloading in heterogeneous cellular networks"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-6 (induced by source paper "improved phantom cell deployment for capacity enhancement"):
  with members:
    - "power control in two tier femtocell networks"

Connected through hyperedge HE-7 (induced by source paper "energy efficient heterogeneous cellular networks with spectrum underlay and overlay access"):
  with members:
    - "user association in 5g networks a survey and an outlook"
    - "coverage in multi antenna two tier networks"

Connected through hyperedge HE-8 (induced by source paper "tier aware resource allocation in ofdma macrocell small cell networks"):
  with members:
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "joint power and admission control via linear programming deflation"
    - "on the complexity of joint subcarrier and power allocation for multi user ofdma systems"
    - "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach"
    - "joint bandwidth and power allocation with admission control in wireless multi user networks with and without relaying"
    - "distributed and optimal reduced primal dual algorithm for uplink ofdm resource allocation"

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)